Udacity Institute of AI & Technology

Majd Sakr is a Professor in the School of Computer Science at Carnegie Mellon University, where his research focuses on workforce training, learning analytics, and cloud computing. He is also the Chief Learning and Research Officer at Accenture and Accenture LearnVantage, leading global efforts in workforce training, learning innovation, and research.

Kai is driven to accelerate global transformation through technology and AI education that empowers people and organizations to reach their highest potential.

As Senior Managing Director at Accenture LearnVantage, he continues to lead Udacity as CEO following the acquisition and he is leading the charge to position LearnVantage as the leading corporate upskilling company. Before joining Udacity, Kai co-founded the Bertelsmann Education Group, a strategic business unit of the German media and services conglomerate. Earlier, he played a key role in the merger and integration of Random House and Penguin Group, two of the world’s largest publishing houses.

Web Developer skilled in developing web applications using JavaScript, jQuery, React and Angular. Mentor and Session Lead for students at Udacity. Doctor support volunteer at Project StepOne.

I am skilled in cutting-edge technologies like jQuery, React, and Angular. Through Udacity Nanodegrees, I built wonderful, challenging projects. I made use of libraries and frameworks through a thorough study of their documentation. I won the Project Completion Challenge in my Front-End Web Developer Nanodegree II, where I had to complete projects within a given deadline and put motivating posts on them on social media.

As an engineering student, I have worked on projects end to end projects involving Cricket Auction application and implementing an e-commerce-based research paper. I have also contributed to an open-source project.

In my tenure at Comviva, I closed the gap between Design prototypes and the application whilst improving the UI performance, and experience and reducing a large part of the codebase. I revamped an entire application from legacy code to a high-performing Angular application. I made a reusable UI component that is used by developers outside my team. I developed the entire front end of a vital, key feature of a product from scratch.

I was allowed to beta test a Nanodegree and was fortunate to be selected as a mentor for the same. Through mentoring students, I enjoy my desire to teach and as an added benefit, I actively learn new concepts of JavaScript which would serve as a base for me to learn and apply new frontend technologies and frameworks. I was selected as a Session Lead in the OLX scholarship, which has allowed me to conduct engaging sessions to help them achieve their weekly goals.

In my current role at Marrow, I oversaw the rewrite of internal applications from Angular JS to Angular with improved user experience. I also enforced clean architecture, code standards, and best practices for high crash-free rates. I won the Kansha award for the quarter of April-June 2023.

With 15 years of software engineering management experience, I specialize in turning business ideas into enterprise-level web

applications that meet high standards in quality, time, and budget. My success lies in active listening, requirement analysis, and leveraging

the right architecture and design patterns. As a change agent, I stay up-to-date on emerging technologies, adopting those that align with

business needs. I design policies for agile workflows, versioning, and application security, and my MBA enables me to bridge the gap with

non-technical stakeholders. Passionate about team development, I lead training and code reviews to ensure consistent excellence.

Currently, I’m exploring AI, computer vision, and RAG to drive further innovation in our solutions.

As a self-taught full-stack developer; I don't just build products, I build exits. I have built and sold five Micro-SaaS companies by personally managing the entire lifecycle: from development on the LAMP stack to scaling with the growth-hacking tactics I mastered as a resident at Antler VC.

My entire career, from being an early iPhone adopter to a 2016 Ethereum investor, has been about seeing the future and having the technical skills to build it. I now dedicate my time between being a Data Engineer at Aon, Project Reviewer at Udacity and helping others with product development at Aon Labs.

I am currently completing a Master of Science in Computer Science (Machine Learning) at Georgia Tech and have several years of hands-on  experience working with real-world datasets and models.

As an Independent Consultant for Data Science at Udacity, I have reviewed hundreds of projects and supported learners across data analysis, business analytics, and machine learning. This work has strengthened my skills in Python, SQL, statistics, data visualization, and building end-to-end pipelines, as well as explaining complex ideas in clear, simple language.

During my internship at Mozilla/Firefox, I contributed to a retention propensity prototype using Python and SQL on BigQuery. I engineered features, ran offline evaluations, and built cohort-retention dashboards, giving product managers faster and clearer insight into user behavior.

Across my projects, I have worked with NLP, computer vision, and time-series data using tools such as PyTorch, TensorFlow, scikit-learn, Tableau, and Power BI. I enjoy framing problems, validating assumptions, and communicating results in a way that is useful for both technical and non-technical stakeholders.

Mayur Raina is a strategy and digital transformation professional with experience spanning financial services, consulting, and technology-driven business initiatives, complemented by management education from XLRI Jamshedpur. He has worked on projects that enhance customer experience, streamline onboarding, and improve decision-making through data-driven solutions for financial institutions and advisory firms.

Mayur has led and contributed to initiatives focused on reducing customer onboarding time, improving operational efficiency, and enabling digital journeys in banking and financial services. His work includes building data-backed tools and dashboards that improve user experience for multiple financial advisory firms and support strategic decision-making for senior stakeholders.

His core strengths lie in strategy consulting, client and stakeholder management, and the design of digital and analytics-led solutions for financial institutions. Mayur brings a strong problem-solving orientation, combining domain knowledge in financial services with hands-on experience in automation, analytics, and process optimization.​

Mayur holds a management degree from XLRI Jamshedpur, where he engaged actively in leadership and collaborative initiatives that strengthened his exposure to consulting, career development, and industry interaction. His experience in batch-support and placement-oriented roles reflects his ability to work in high-stakes, stakeholder-heavy environments while driving outcomes for diverse groups.

Ken Adachi brings over 20 years of experience in enterprise technology architecture and AI-driven solutions. Currently Lead Customer Success Engineer at Dynatrace, he previously served as Principal Platform Architect at ServiceNow, where he led Gen AI transformation initiatives for major enterprises and earned the Japan President Award in 2023 and 2024. His career spans IBM, Salesforce, Microsoft, ServiceNow, and Dynatrace, working with Fortune 500 clients across financial services and manufacturing sectors.

As an active Udacity mentor and course reviewer, Ken has completed over 20 programs including Agentic AI, Azure Generative AI Engineer, and Machine Learning DevOps Engineer. He holds a Master's degree in Information Science from JAIST and specializes in agentic AI systems, generative AI applications, and cloud platform transformation.

Published researcher and UNESCO-certified trainer, passionate about leveraging technology and education in cutting-edge fields like Machine Learning and Cybersecurity with expertise in MS SQL and Cloud Management. With over 10 years of experience as a certified IT professional, I specialize in system administration, network management, and development using Python, C++, and C. Currently working as an Assistant Lecturer, focusing on AI and Cybersecurity, with expertise in VMware, Odoo development, Microsoft 365, Power BI, and Cisco systems.

I am Senior Software Engineer with 7+ years of experience specializing in Java backend development, distributed systems, and cloud-native applications.

I enjoy designing scalable solutions using technologies like Spring Boot, Hibernate, Kafka, Node.js, and AWS.

I’ve partnered with enterprise clients across Utility, Banking, and Retail domains, working with organizations such as Accenture, upGrad, HashedIn by Deloitte, and Publicis Sapient.

Beyond core development, I’m also a Udacity Mentor, where I’ve guided aspiring developers, conducted thousands of code reviews, and supported learners pursuing Java, Machine Learning, and iOS certifications. This experience has strengthened not just my technical skills, but also my ability to communicate complex ideas clearly.

What drives me is a passion for continuous learning and technological innovation. I hold certifications in Java Programming and Web Development from Udacity, and I’m currently pursuing AWS certifications to further sharpen my cloud expertise.

Currently a UX Consultant at Singapore's Government technology department for citizens and agencies information services and platforms.

Specialising in driving user-centered design transformations across diverse industries with proven expertise in leading end-to-end UX initiatives. Career highlights include:

• Leading the UIUX for Singapore's first IoT Energy Management Platform, enabling over 40% energy savings for platform users such as Banks, major hotel chains and data centres

• Transformed Singapore's largest telecommunications contracting process into a digital contracting platform resulting in an increase of 9% to 15% on re contracting orders and a 30% decrease in customer s time spent within the first month of launch

I am a Lead Software Engineer with over 9 years of experience in building scalable enterprise software and complex networking protocols. Throughout my career at companies like Informatica, Intuit, and Juniper Networks, I’ve focused on bridging the gap between legacy systems and modern cloud solutions while leading high-impact technical initiatives.

At Intuit, I led several key projects for QuickBooks, including the migration of the PREROA login experience to a Chromium-based browser and the implementation of multiple shipping address support to streamline customer migrations from Desktop to Online. I also spearheaded critical platform upgrades, such as the move to Visual Studio 2022 and the transition to AES-256 encryption. My earlier work at Juniper Networks deepened my expertise in core networking, where I served as the lead developer for PCEP protocol implementations in JunosOS and managed global interoperability events.

I hold a Bachelor of Technology in Computer Science from NIT Bhopal. Technically, I am proficient in C++, C, and Java, with extensive experience in AWS, PostgreSQL, and Docker, MongoDB. I enjoy solving complex architectural challenges and am passionate about delivering features that significantly improve the end-user experience.

An ML professional and digital hardware engineer who bridges deep learning with high-performance silicon. He is a Digital Display Interface ASIC Design Engineer at Qualcomm, where he helps architect, implement, and verify DisplayPort/HDMI/MIPI DSI IP for Snapdragon SoCs. Previously, at Synopsys, he designed and verified high-speed PCIe 6.x PHYs and SerDes used in AI/ML compute systems. Beyond industry, Hazem leads AI/ML cohorts with Udacity, mentoring hundreds of learners worldwide across programs such as the AWS AI & ML Scholarship. He also served as a Graduate Teaching Assistant at McMaster University, where he led the school’s first Reinforcement Learning Hackathon. He holds an M.A.Sc. in Electrical & Computer Engineering from McMaster and a B.A.Sc. from Nile University, with publications in hardware-efficient reinforcement learning. Honors include 1st Place nationally at Dell HackTrick 2023 and the Dr. William F. Kennedy Graduate Fellowship.

Elie is an AI/ML Engineer and Data Scientist specialized in NLP and Generative AI, with 7 years of experience designing and deploying production-grade AI solutions.

As a mentor and evaluator, he assesses student projects with a structured, academic approach—clear problem framing, rigorous experimentation, responsible AI practices, sound metrics, and strong engineering fundamentals (reproducibility, testing, documentation, version control, and deployment readiness).

He brings hands-on experience with LLM-based workflows, document understanding (OCR), and MLOps on modern cloud and Databricks-based data platforms, and holds multiple certifications across AWS, Azure, Dataiku, and Databricks.

Data/AI Engineer with 10+ years of professional experience in Telecom, Banking, and Open Source industries. I am experienced with Python, Go, Java, and JS/TS, both in private and public clouds (AWS, Azure). I am passionate about transitioning legacy solutions to modern data architectures on private, public & hybrid clouds, with a proven track record of leading technical teams doing so!

Duong Hai Long is a data scientist and applied economist with over a decade of experience at the intersection of machine learning, econometrics, and public policy. He currently leads data science and analytics at FutureProof Technologies, where he develops and productionizes large-scale machine-learning models to quantify economic losses from climate-related catastrophic events, supporting insurance, resilience, and climate-risk assessment. Previously, he was a Senior Data Scientist at Grab, where his work on real-time pricing and supply optimization improved peak-hour fulfillment for Southeast Asia’s largest food-delivery platform.

Duong holds a PhD in Economics from the National University of Singapore, specializing in empirical industrial organization and structural modeling. His academic research has been published in Management Science and presented internationally. He has also taught econometrics, industrial organization, and creative-economy courses at leading universities. His work combines rigorous causal inference with scalable data-science systems to address real-world economic and societal challenges.

Senior Software Engineer and iOS Consultant with over 10 years of professional experience in designing, developing, and leading high-scale mobile applications. Currently working with Deloitte as a Senior iOS Software Consultant, contributing to major UK and international clients, including airline and retail platforms. Served as an iOS Session Lead for Udacity’s iOS Developer Nanodegree, mentoring learners through structured technical sessions and real-world project guidance. Strong expertise in Swift, SwiftUI, mobile architecture, performance optimization, and technical leadership, with a proven record of delivering high-quality, scalable solutions and mentoring engineering teams.

I am a Master’s degree holder in Computer Engineering with teaching experience in the field of computer science and engineering. I have hands-on industry experience and have successfully completed AI projects through Udacity, gaining practical exposure to real-world applications of Artificial Intelligence. My interests include teaching, applied AI, and bridging the gap between academic learning and industry practices.

I'm a Machine Learning Engineer with close to seven years of experience specializing in NLP and Generative AI. Currently, I'm working as an AI Engineer at Eudia—a $105M-funded legal AI startup serving Fortune 500 clients like Stripe and Intuit. Here, I led the launch of a Litigation product in just 4 weeks, building AI agents to process large documents and generate comprehensive client reports.

Previously at Spotdraft, I spearheaded the development of high-impact legal tech solutions, including VerifAI and Smart Data Capture, which collectively generated over $120k in revenue. I architected multi-agent systems for legal document analysis and mentored junior engineers while driving innovation in legal technology.

Earlier in my career at Salesken and Mercer Mettl, I built multilingual emotion classification systems, model optimization pipelines, and NLP solutions for assessment integrity. I've also contributed to academic research, publishing work on curriculum learning for emotion recognition in code-mixed data.

I hold a B.Tech in Information Technology from IIIT Vadodara and am proficient in Python, PyTorch, LangGraph, FastAPI, and various LLM frameworks.

An Applied Scientist II at Microsoft, where I build large-scale classification models and AI pipelines that run over billions of documents to enhance the shopping experience across Bing, Copilot, and Edge. With expertise in machine learning, natural language processing, and computer vision, I have developed solutions ranging from fine-tuned Arabic large language models to retrieval-augmented generation systems and AutoML platforms.

Previously, I worked at multiple companies and startups and completed diverse freelance projects in energy forecasting, e-commerce, and predictive analytics. I am also passionate about mentorship and support aspiring data scientists through Udacity.

Master's student in Artificial Intelligence and Senior Software Engineer with 12+ years of experience transforming complex requirements into scalable production systems. Currently transitioning to Data Science, leveraging a strong background in Python, SQL, and System Architecture to bridge the gap between model development and deployment (MLOps). Expert in optimizing data-intensive backends and mentoring developers in AI concepts.

My work experience has encompassed a variety of Computer Science fields. I have been a Machine Learning programmer since my college days, working on CART problems, Deep Learning Models and Data Analysis from 2017, and since then I have experienced AI becoming mainstream and a part of everyday lives. My head start helped me stay ahead of the competition.

I leveraged my knowledge and experience first as a Machine Learning Intern and then a Software Developer for 2 of the biggest MNCs: Wipro and F5 Networks. My work has encompassed a variety of highly technical fields that include scalable consumer applications, bot detection algorithms, Computer Vision applications, Database administration ,DevOps and cloud deployments.

My intern company made sure I join them full time just after a month of the 3 month duration. I have been promoted 1 year ahead of schedule at my first job.

My colleagues trust me to handle the most complex of tasks and therefore I have had great responsibility handed to me. My attitude to always keep learning and eagerness to explore the next big thing in technology has always helped me be a highly skilled and capable Software Engineer who can delve into any field and solve any kind of problems.

My other experiences include hosting a TEDx event, being awarded with quarterly excellence award twice in a row while at Wipro and multiple shout outs from my colleagues appreciating my assistance at F5.

My name is Mona, and I am a Senior UI/UX Designer and Web Developer with a proven track record of delivering user-centered, scalable, and high-performing digital solutions. My expertise lies in bridging the gap between design and development, ensuring every product I work on is both intuitive and technically sound. Alongside my professional work, I’ve served as a mentor to over 2,000 learners in web development and UX design, helping aspiring professionals gain industry-ready skills and launch their careers. I’m recognized for leading cross-functional teams, introducing design strategies that enhance performance, and creating impactful digital experiences. I’m passionate about driving innovation at scale, leading projects that merge creativity with functionality, and continuing to mentor the next generation of designers and developers.

• Broad SW Engineering experience of 15+ years

• International experience: Egypt-Canada and China

• Multi-national companies: Valeo - IBM - Alcatel, etc.

• Variety of SW fields Automotive, Embedded, Autonomous driving, Machine learning, and Data Analysis

Hi there! I’m Rashmi. My journey into the world of machine learning has been a thrilling ride fueled by my passion for technology and its ability to transform lives. I still remember the moment I realized how AI could streamline processes and enhance decision-making—it was like a light bulb went off! Since then, I’ve dedicated my career to crafting intelligent systems that genuinely make a difference across various sectors.

At PEI, I had the opportunity to develop advanced machine learning pipelines on Databricks that enhanced decision-making efficiency by 30% within just three months. This experience taught me not only about technical skills but also about how impactful our work can be when we truly understand the needs of our users. Before that at Narvar, I designed a state-of-the-art Transformer-based model that improved ETA prediction accuracy by 25%, significantly enhancing customer delivery expectations.

Mentoring is another passion of mine. As part of the KaggleX BIPOC Mentorship program, I guided two participants through their projects while contributing to discussions on linguistic challenges at the ICLR 2023 Conference. It’s incredibly rewarding to help others navigate their paths in tech while sharing what I've learned along the way.

When I'm not immersed in code or mentoring aspiring data scientists, you might find me exploring new technologies or volunteering for local tech initiatives. I believe in giving back to the community as much as possible because it's important to uplift those around us.

If you're interested in discussing machine learning innovations or collaboration opportunities—whether it’s about LLMs or just sharing insights over coffee—feel free to reach out via email!

Lead Machine Learning Engineer with a multidisciplinary background and a strong focus on delivering scalable, impact-driven AI solutions. Experienced in guiding cross-functional teams and integrating advanced analytics into strategic business contexts. Specialized in applying Generative AI and LLMs to solve complex challenges across industries, with a proven track record in managing international, high-value projects and driving operational efficiency through data-driven innovation.

Deep Doshi is a AI Tech Leader driving cutting-edge AI innovations in autonomous mobility. Specializing in Vision-Language Models and 3D perception, he focuses on fusing multi-modal data and build AI models to enhance autonomous driving systems.

With a strong background in Deep Learning, ROS, and SLAM, he leads efforts in applying self-supervised learning to complex driving environments. Passionate about Embodied AI, he is dedicated to building the intelligent systems that power the future of robotics and self-driving cars.

I have more than 13 experience in development , programming and mentoring students in different fields I worked on different corporate with scattered businesses in medical , financial , e-commerce and medical secto.

Principal Software Engineer with 7 years of experience designing, scaling, and securing cloud-based SaaS platforms. I work primarily on backend systems, distributed architectures, and cloud infrastructure, and have spent most of my time building reliable, multi-tenant applications on AWS with Node.js and MongoDB. Since 2018, I’ve also been a Udacity mentor and project reviewer, evaluating graduate-level, project-based work in backend engineering, cloud, and system design. The reviews are rubric-driven and focus on correctness, scalability, maintainability, and how close the solutions are to real-world production systems. More recently, my work has expanded into AI and Generative AI: prompt-based integrations, AI-driven workflows, and optimizing cloud infrastructure for AI workloads. I’m especially interested in connecting academic learning with practical, industry-grade engineering through structured mentorship and technical reviews.

An author, full-stack software engineer, and cloud developer with a passion for continuous learning and innovation. I strive to carve a niche for myself in the ever-evolving world of information technology while contributing to organizational growth through my expertise, vision, and creative problem-solving approach.

I have successfully trained and mentored professionals from diverse backgrounds, helping them develop the skills necessary to succeed in today’s dynamic cloud ecosystem. My Azure Cloud Architect course for Educative.io blends deep theoretical knowledge with hands-on experience, enabling learners to confidently architect and deploy scalable, efficient cloud solutions aligned with business goals.

I believe in mastering my craft and treating every project as an opportunity to explore, innovate, and push boundaries. For continuous learning, I have built projects across various technologies including .NET, Angular, Intel Edge AI, Dialogflow, and Microsoft Azure.

I am an AI Supervisor at Valify Solutions, where I lead a diverse team of 12 engineers (juniors, mid-levels, and seniors) and drive the company’s machine learning strategy. My work focuses on building and improving end-to-end AI pipelines—such as face match, face liveness, OCR, and document intelligence—while ensuring they are production-ready through strong MLOps practices. Over the years, I’ve gained extensive experience in computer vision, NLP, reinforcement learning, and large-scale ML systems, delivering solutions that combine research innovation with real-world impact. I am also passionate about mentoring engineers, helping them grow their skills, and aligning our work with business goals. In addition to my industry role, I serve as a session lead at Udacity, where I support learners worldwide in their AI journeys.

AI Architect, educator, and industry practitioner with over 16 years of experience across Data Science, Artificial Intelligence (AI), and Supply Chain Optimization. Founder of TensorLearners, an AI-focused organization delivering industry-aligned training programs and building enterprise-grade AI solutions.

Played a key role in building the Data Science Center of Excellence from the ground up at AB InBev, working alongside the founding leadership team to enable large-scale analytics and machine learning adoption. Has successfully delivered multiple greenfield projects spanning machine learning models, data engineering pipelines, AI agents, and knowledge graph–based systems.

Holds a Master’s degree from the Indian Institute of Technology (IIT) Madras and a Bachelor’s degree in Mechanical Engineering from Government College of Technology (GCT), Coimbatore, providing a strong foundation in both engineering and applied analytics.

With over five years of association with leading edtech organizations, has served as an AI mentor and trainer, delivering structured learning programs, faculty development sessions, and hands-on workshops. Has trained more than 5,000 learners in Artificial Intelligence, Data Science, and Machine Learning, emphasizing practical, industry-relevant skills.

Author of the book “Generative AI–Driven Human Evolution,” exploring the transformative impact of generative AI on human capability, work, and long-term societal evolution. Actively engaged in fostering industry–academia collaboration, curriculum design, and responsible AI education.

Experienced Associate Tech Lead with 8 years in full-stack along with AI development. Skilled in leading teams, managing tasks, and ensuring coding standards. Proficient in LLM, Prompt Engineering, Models,React JS, Java, REST APIs, and cloud database integration. Experienced in developing responsive web applications and REST web services for real-time integration. Adept at problem-solving, technical design, and mentorship. Proven track record in database management, UI/UX design, and data warehouse modeling. A collaborative team player with a knack for product development and management. Known for my highly organized approach and ability to thrive in fast-paced environments. Excited to bring my technical expertise and leadership skills to drive impactful projects as an Associate Tech Lead.

I hold a Master of Science degree in Business Analytics from Arizona State University, where I honed my skills in enterprise analytics, big data tools, and data mining. My undergraduate degree in Finance from Kennesaw State University, where I graduated Cum Laude, provided a strong foundation in applied statistics, econometrics, and corporate finance. These academic achievements are complemented by my hands-on experience with a variety of data analytics tools and programming languages including Python, SQL, R, Tableau, and AWS

I, Rujuta Heda, am an MBA graduate with strong experience in talent acquisition, specializing in recruiting senior and top-level management professionals for 2COMS HR Consultancy in a freelance capacity (2010–2014). I have built a multidisciplinary foundation in emerging technologies through several nanodegrees, including Generative AI for Business Leaders, AI Product Management, Machine Learning, and Amazon QuickSight. For the past eight months, I have been working as a mentor and project reviewer with Udacity, guiding learners in applying AI and business concepts effectively. I bring a unique blend of HR expertise, analytical skills, and AI-driven problem-solving abilities to every professional engagement.

Senior Backend Developer with strong expertise in Java, Spring Boot, Microservices, and RESTful APIs, and a growing focus on AI-driven application development. Experienced in building scalable, secure backend systems using Spring Boot, Hibernate, Spring Data JPA, and event-driven architectures. Actively working on an AI healthcare platform (DoctorGPT.health) for AI-based health screening and appointment booking. Hands-on experience integrating LLMs using LangChain with Java/Spring Boot. Skilled in designing AI-powered conversational workflows and backend APIs. Strong understanding of fintech and payment systems, including BBPS and Juspay integrations. Experienced with MySQL, MongoDB, RabbitMQ, Docker, Jenkins, and ELK. Passionate about applying Generative AI to solve real-world problems in healthcare and fintech domains.

I am a graduate of the University of Michigan’s Informatics and Computer Science programs and hold an MBA from the Leeds School of Business at the University of Colorado Boulder. My academic foundation blends technical depth with strategic business acumen, giving me a strong understanding of how data, usability, and engineering practices drive organizational value.

With a professional background spanning web analytics, software engineering, and project management, I have built and supported scalable systems across multiple technology stacks. I develop full-stack applications using React.js, Next.js, Node.js, Java, and Python, and implement serverless endpoints, AWS services, and automated deployments with Terraform. My experience also includes integrating authentication systems like Okta, as well as conducting comprehensive unit and end-to-end automation testing.

Outside my core development work, I conduct interactive online classes for Udacity’s Nanodegree programs, teaching subjects such as Front-End Web Development, Security and DevOps, Full-Stack Development, and Java Web Applications. I am passionate about mentoring adult learners and guiding them toward career advancement in technology. In my free time, I enjoy volunteering with the Humane Society, baking for the Cake4Kids charity, hiking with my dog, and exploring the evolving intersections of artificial intelligence and software development.

Sagar is a full-stack developer with 8+ years of experience and expertise in React, TypeScript, Next.js, Node.js, and Go. Passionate about solving complex problems, he excels at crafting seamless user experiences, building scalable backends, and developing real-time systems. He's contributed to innovative projects at companies including Soldave, Airmeet, and Exotel, integrating AI-powered solutions to enhance automation, data workflows, and user experiences.

As a Data Science mentor, I have a deep passion for helping individuals develop their skills and achieve their goals in the Data field. With extensive experience in data analysis, machine learning, and statistical modeling, I provide personalized guidance and support to help my students navigate the complexities of data science and machine learning, ultimately achieving success in their careers. From developing programming skills to building and deploying machine learning models, I work closely with my students to ensure they possess the knowledge and tools necessary, ultimately achieving success. Whether they're just starting in data science or looking to take their skills to the next level, I provide them with a customized learning plan that will help them build a solid foundation in data science and achieve success in their career.

A performance-driven analytics professional with over seven years of experience in UAE, specialized in business intelligence, data analysis, and data management. Recognized for delivering smart, cost-effective data solutions for leading organizations such as DIEZ, ADNOC, and Etisalat.

Since 2023, serving as a mentor and instructor with Udacity’s Makeen program and a member of the HCT Industry Advisory Committee, contributing to the development of business analytics programs for HCT graduates.

Abdul‑Razak Bawa Yussif is a data‑driven economist and AI practitioner with extensive experience in machine learning, predictive modelling, and applied analytics. With over seven years of hands‑on work across data science, econometrics, and computational research, he blends strong technical expertise with a deep understanding of real‑world policy and business problems. He has served as an Independent Technical Consultant and Mentor with Udacity Inc. since 2019, supporting learners in AI, machine learning, and data‑science Nanodegree programs. In this role, he evaluates complex ML projects, troubleshoots Python‑based algorithms, and provides expert guidance on neural networks, supervised and unsupervised learning, model optimization, and end‑to‑end data pipelines. His mentorship experience demonstrates his ability to translate advanced technical concepts into clear, actionable insights for diverse audiences.

Abdul‑Razak’s technical portfolio includes developing neural‑network models for financial forecasting, designing experimental simulations using Python and oTree, and mentoring students in building AI systems for loan‑default prediction and business‑metric forecasting. His Master’s thesis applied Artificial Neural Networks (ANN) to stock‑market prediction, reflecting early adoption of deep‑learning methods in economic modelling.

He is proficient in Python, R, SAS, Stata, SPSS, Tableau, and Power BI, with strong capabilities in data engineering, statistical modelling, and algorithmic development. His work spans AI‑driven research, large‑scale administrative data analysis, and innovation‑focused consulting, making him well‑suited for roles at the intersection of technology, analytics, and applied machine learning.

Bishoy Mikhaiel is an experienced cloud and DevOps engineer with a strong background in designing, deploying, and optimizing scalable cloud solutions. With over ten years of industry experience, he has worked extensively with AWS, Azure, containerization technologies, CI/CD pipelines, and modern DevOps practices. my work includes building cloud-native architectures, automating infrastructure, and improving deployment efficiency for diverse enterprise environments.

Bishoy is also committed to mentoring and supporting learners, helping them strengthen their technical foundation and develop practical, industry-aligned skills in cloud engineering and development.

Sharad Jain is an AI founder and seasoned data scientist with a track record of building intelligent systems at scale. As the founder of autoscreen.ai, he architects production-grade AI Agents, leveraging LLMs, Retrieval-Augmented Generation (RAG) and multi-agent workflows to solve real-world problems. His entrepreneurial drive is backed by extensive experience at companies like Meta and Withjoy, where he led high-impact data science and engineering initiatives.

I'm a data-driven innovator and entrepreneur who builds technology that creates meaningful impact. Currently building software pipelines at Arista Networks and transforming mental health access through Manastha.

Dr. Rey Rosales holds a master's in education leadership from Harvard and a PhD in journalism from Southern Illinois University at Carbondale (Dissertation Research Award). He also holds a master's in radio and TV broadcasting from Arkansas State University at Jonesboro. He completed a global entrepreneurship program at the Massachusetts Institute of Technology (MIT Sloan School of Management, Certificate in Teaching New Ventures Leadership).

Rey is an award-winning university professor with over 20 years of experience in university teaching in the US and Canada. He has held leadership roles in several significant projects, demonstrating his ability to lead and innovate in education, journalism, and entrepreneurship.

Rey received a Fulbright scholarship and various fellowship awards from the American Press Institute, the American Society of Newspaper Editors, the Institute for Journalism Excellence, the Emmy Awards Organization (Academy of Television Arts and Sciences), and the International Radio-TV Society (IRTS).

Rey is passionate about innovation and entrepreneurship, as well as digital media, communication, online education, data science, and machine learning. His areas of expertise include, but are not limited to, the following: innovation and startup entrepreneurship, AI and communication, academic research and writing, journalistic writing, digital storytelling, data journalism, and online learning.

Rey was a visiting fellow at MIT in the spring and summer of 2018.

Rodolfo Yoshii is a dedicated professional in logistics and e-commerce, with a profound commitment to lifelong learning and educational mentorship. At UPS Canada, he supports organizations in enhancing systems integration and operational efficiency through project management and data analysis. His passion lies in education, where he serves as an instructor and mentor at Udacity, guiding students in applying skills in data analysis, SQL, and career mentorship. Mr. Yoshii has been awarded several times by Udacity for excellence in mentorship, which has refined his ability to help learners. Proficient in tools such as SQL, Tableau, Alteryx, and PowerBI, he also speaks English, Spanish, and French, promoting inclusive and global learning environments that support academic excellence and expanded access to higher education.

+8 years of experience in C/C++ Embedded Linux and Embedded systems in Automotive and for leading multinational companies (Luxoft, eJad and Axxcelera Egypt)

+8 years of experience in teaching Instructor specializing in Embedded System/Embedded Linux for institutions such as NTI, AMIT, and EME ITEDA and others

• Delivered numerous Embedded System and Embedded Linux talks and also judging for various robotics competitions

I am a Cybersecurity Engineer with a passion for building secure systems and helping others understand how technology works safely. Over the past few years, I’ve worked as a Full-Stack Developer at Orange Innovation Egypt, taught and mentored students in cybersecurity and networking, and gained hands-on experience with secure APIs, cloud technologies, and network protection. I hold a Bachelor’s degree in Computer Science and AI from Cairo University and am currently pursuing a dual Master of Science in Cybersecurity at Eötvös Loránd University and the University of Trento through the EIT Digital program. My interests span ethical hacking, cloud security, and designing solutions that make technology both innovative and secure.

In addition to my school leadership role, I have been working as an Independent Education Consultant with Udacity since 2018, collaborating remotely with global educational platforms. In this capacity, I provide project reviews, learner support, and academic guidance in advanced technology domains, including Virtual Reality (VR), Cloud Computing, Artificial Intelligence, Programming, and Cybersecurity.

I bring a unique combination of academic leadership, emerging technology expertise, and strong communication skills, enabling me to bridge the gap between pedagogy and innovation. I am passionate about empowering educators, supporting learners, and driving continuous improvement in both traditional and digital learning environments.

Majd Sakr is a Professor in the School of Computer Science at Carnegie Mellon University, where his research focuses on workforce training, learning analytics, and cloud computing. He is also the Chief Learning and Research Officer at Accenture and Accenture LearnVantage, leading global efforts in workforce training, learning innovation, and research.

Associate Staff Engineer (6+ yrs) in .NET, Azure, and full-stack dev, now building with LLMs and agentic AI. Excited to mentor, simplify complex ideas, and help learners build real-world AI projects.

Juliano Vieira Martins holds a Ph.D. in Information Technology (2024) and is currently a postdoctoral researcher focused on applied machine learning, data analytics, and statistical correlation models for highway pavement performance and infrastructure monitoring.

Since 2017, Juliano has been actively collaborating with Udacity as a mentor and project reviewer, supporting learners in programs related to programming and IA.

Senior Software Architect/Engineer with 9+ years of experience in embedded and automotive software, in software platform architecture, SoC and Microcontrollers Resources initialization and Management, multicore systems, AUTOSAR, and functional safety. I lead and support software teams, handle customer communication, review system requirements, and provide software architecture and design for various control products and systems. Proven track record in defining software concepts, leading architecture design across global teams, and supporting OEMs and Tier-1 customers through complex system integration and delivery. Strong background in automotive standards (AUTOSAR, ISO 26262, ASPICE) with hands-on experience across the full V-model lifecycle.

Professor Jean Paul Barddal received his B.Sc. degree in Computer Science at the Pontifical Catholic University of Paraná (2013), where he was awarded with the Marcelino Champagnat academic merit prize; followed by a M.Sc. degree in Informatics by the Graduate Program in Informatics of the same University in 2015, and his Ph.D. by same institution in 2018. He is currently a productivity scholar (CNPq-C), Head of the Graduate Program in Informatics (PPGIa/PUCPR) and a researcher with the Advanced Institute for Artificial Intelligence where he leads research in the following topics: data stream mining, classification, regression, clustering, concept drift, feature selection and process mining. He is a former Productivity Scholar with the Fundação Araucária (2025).

I am a computer scientist with a strong background in artificial intelligence, machine learning, and software engineering. I earned my Master of Science in Computer Science from the University of Central Florida, and I am currently pursuing my Ph.D., focusing on large language models for Education. My professional experience spans both academia and industry. At Qorvo, I developed deep learning pipelines for predicting electrical component performance, created feature attribution and outlier detection tools, and coauthored internal publications due to the accuracy of my models. As a Graduate Research Assistant, I published peer reviewed work on AI based virtual companions that help adolescents with autism recognize cyberbullying. Moreover, I have worked on Representation Engineering of a Chess playing GPT. I have also worked as a Teaching Assistant across multiple computer science courses, supporting students in programming, discrete math, and foundational computing concepts. Currently, I serve as a MOVE Fellow with Handshake, where I design advanced computer science problems to evaluate multimodal reasoning in large language models. I lead Knights for Animal Rights as President, where I manage events, partnerships, and advocacy initiatives. My passion lies in bridging rigorous research with real world applications, particularly in advancing AI driven solutions that improve learning, reasoning, and accessibility.

Kai is driven to accelerate global transformation through technology and AI education that empowers people and organizations to reach their highest potential.

As Senior Managing Director at Accenture LearnVantage, he continues to lead Udacity as CEO following the acquisition and he is leading the charge to position LearnVantage as the leading corporate upskilling company. Before joining Udacity, Kai co-founded the Bertelsmann Education Group, a strategic business unit of the German media and services conglomerate. Earlier, he played a key role in the merger and integration of Random House and Penguin Group, two of the world’s largest publishing houses.

A FinTech marketing professional with 9 years of experience across CRM, product-led growth, and digital marketing. I’ve worked on large-scale consumer products with over 3 million monthly active users, building data-driven customer lifecycle journeys across channels like WhatsApp, push notifications, email, and SMS. I enjoy mentoring students on real-world marketing strategy, growth fundamentals, and practical problem-solving in modern digital businesses.

Moamen Abdelkawy is a Senior Economic Analyst at National Navigation Co. with over 15 years of experience bridging economics, data analysis, and machine learning. His expertise lies at the intersection of quantitative economics and maritime industry analytics, where he applies advanced econometric modeling and data science techniques to drive strategic decision-making.

With a strong foundation in both theoretical economics and practical data science applications, Moamen has established himself as an analytical polymath who transforms complex financial and economic data into actionable business intelligence. His intellectual curiosity and commitment to continuous learning have shaped a career characterized by innovation, technical excellence, and knowledge sharing.

A Senior Data Scientist and Agent Developer with over five years of experience, currently focused on orchestrating agentic systems and building guardrails. Beyond the code, I’m a Fulbright Scholar, an MBA candidate, and recently published at IEEE ISBI 2025. My interests are pretty broad; I love digging into Graph Neural Networks and quantum computing just as much as I enjoy analyzing academic research trends and the business mechanics of the Generative AI.

I am a Full Stack Developer with 7+ years of experience building and scaling production systems in the JavaScript ecosystem, including React, Next.js, and Node.js, along with hands-on Cloud and DevOps experience on AWS. In recent work, I’ve also integrated Generative AI capabilities into full-stack applications, focusing on practical use cases such as intelligent workflows, automation, and user-facing features.

My work has consistently focused on performance and scalability. At AirFi, I architected a high-scale voucher system generating over 1M codes per month and reduced application load times by nearly 70% by introducing static site generation. Previously at Zigram, I built and optimized backend workflows processing over 5M user profiles.

Beyond individual contributions, I’m a Certified Professional Scrum Master with a strong interest in engineering culture and mentorship. During my time at Udacity, I mentored 100+ developers through Full Stack programs, conducted in-depth code reviews, and guided learners on applying modern practices, including AI-assisted development, to real-world systems.

I am an experienced technology professional with a focus on telecommunication emerging technologies. I have over ten years of experience in software engineering within the telecommunications industry and enterprise sector.

In my role at Telstra (Australia's largest telco), I focus on identifying, evaluating, and implementing cutting-edge solutions that drive business transformation and scalability. With a strong background in engineering, AI, and modern architecture design,

I combine technical expertise with strategic thinking to deliver impactful solutions. Passionate about mentoring and knowledge sharing, I actively contributes to organisational growth through collaboration, thought leadership, and continuous learning.

Radwa Elsayyam is a results-driven IT Support Analyst and Business-Technology Translator with expertise in cloud engineering, data analytics, and e-commerce optimization. She currently works at Unilever, where she integrates and optimizes Shopify flash sale pages using Google Cloud Platform and PowerBI, increasing sales by 15% and reducing downtime by 20%. Previously, she served as a Coding Instructor at iSchool, enhancing student engagement through AI and data science curricula, and as a Business Analyst at 700Apps, where she automated workflows to improve process accuracy by 40%. Radwa holds a Bachelor’s in Computer and Information Science and is an AWS Machine Learning Engineer candidate. She is also a recognized Google Women Techmaker Ambassador and Amazon Machine Learning Community Builder, passionate about mentoring and bridging technical innovation with business impact.

My name is Gilles Kepnang and I am a proponent of innovation. My most recent achievement is being nationally recognized in America's Who's Who list for 2025, with expertise in Patent Law for AI Inventions. For years, I have contributed to software projects, as well as obtained certifications from HackerRank and Codesignal. C++, Java, and Python are my languages of choice. My job experience includes roles such as patent agent, product manager, research engineer, and software engineer.

As the Founder of Onhete, I'm passionate about creating more than just clothes – I'm dedicated to crafting experiences, fostering self-expression, and empowering individuals to embrace their unique style with confidence.

At Onhete, we believe in the transformative power of fashion. Our mission is to merge creativity with sustainability, offering meticulously designed pieces that not only look and feel exceptional but also leave a positive impact on our planet. Every stitch, every fabric choice, and every detail reflects our commitment to quality craftsmanship and environmental responsibility.

Our philosophy is to provide you with ease of comfort and mobility, fulfilling your clothing needs while being comfortable and confident.

I am a senior iOS engineer with 6 years of experience developing iOS apps in Agile and SAFe environments. What sets me apart is my ability to work with diverse technologies and adapting quickly to new frameworks, mentoring junior developers, implementing complex iOS features, and developing custom component.

With more than 12 years of experience in digital marketing and over 8 years of experience as a marketing trainer and lecturer. My objective is to raise awareness for digital transformation urgency, help organizations transform digitally, and implement effective strategies and tactics for digital growth leadership. I hold a Master of Business Administration degree from Paris ESLSCA Business School, where I specialized in Global Marketing and Digital Transformation.  I leverage my expertise in Marketing Analytics to implement various tools and techniques, to ensure better data visualization and reporting and to make informed marketing decisions in my current role as Regional Digital Marketing Head at IDP Education.

Abdelrahman Ahmad is an AI researcher and computer vision engineer with a multidisciplinary background spanning aerospace engineering, machine learning, and autonomous systems. He graduated with a Bachelor of Science in Aerospace Engineering from Cairo University in 2017 and completed his military service in 2019 before beginning a Master’s degree in Flight Mechanics and Control. He successfully finished his pre-master’s coursework with a GPA of 3.4/4.

Driven by a growing passion for artificial intelligence, Abdelrahman transitioned into the AI field in 2021 by enrolling in the AI Professional Diploma, where he explored deep learning, computer vision, and machine learning fundamentals. During the program, he secured a Computer Vision Internship at AvidBeam Technologies, where he delivered a notable achievement: implementing a high-speed face recognition pipeline. For his diploma graduation project, he collaborated with Smart Eye, developing and training an object detection model entirely from scratch.

Impressed by his performance, AvidBeam offered him a full-time position. During his tenure, he contributed to several production-level vision systems, including scene text recognition, worker safety PPE detection, and face attribute analysis.

Seeking to expand his expertise in generative and 3D vision, Abdelrahman later joined Cyshield, where he worked on cutting-edge technologies such as diffusion models, flow matching, ControlNet, 3D Gaussian Splatting, and NeRF-based 3D reconstruction.

In parallel with industry work, Abdelrahman pursued academic research. He joined the American University in Cairo (AUC) as a part-time research assistant in autonomous vehicles, focusing on spatio-temporal modeling, contrastive learning, action detection, and reinforcement learning. He has submitted two research papers currently under review: one on pedestrian intention prediction and another on contrastive learning for model pre-training.

Product and data practitioner with 8+ years’ experience at the intersection of product strategy, data analytics, and Generative AI. Proven track record delivering full-cycle products in the Indonesian market, leading cross-functional teams, and scaling AI-driven solutions for millions of users. Skilled in AdTech, analytics products, budget management, stakeholder engagement, and operational excellence. Recognized for cost optimization, team development, and data-driven decision-making in fast-paced environments.

Academic Staff and Network Security Engineer with various knowledge of Security tools, technologies and best practices. Designing, Implementation, Administration, support and management for various Network Security solutions

Megha Jain is a digital marketing strategist and educator with 7+ years of experience driving growth for global brands through performance marketing, social media strategy, and content-led digital systems. She has led data-backed campaigns across diverse sectors including D2C, technology, healthcare, education, and real estate, working with brands such as Payal Zinal, Fuzia, Ion Heat, Floordeals UK, Heeposh, and Design Everest USA, along with several high-growth startups in India, the UK, and Canada.

Megha specializes in Meta Ads, LinkedIn marketing, and SEO-led content frameworks with a proven track record of managing seven-figure monthly budgets and launching over 1,000 high-performing campaigns. She currently works with a leading agency in Australia, and her prior industry experience includes two years with Design Everest in San Francisco. In 2023, she was invited to the Meta Headquarters for a two-day corporate leadership training program, which recognized her impact and expertise in digital media strategy.

Along with industry practice, Megha is deeply committed to education and mentorship. She has trained more than 25,000 students and professionals through live programs, university workshops, and mentorship platforms. She has taught at leading institutions such as Munjal University, JAIN University, Surana College, and Chitkara University, and has mentored learners on platforms including IIDE, Digital Scholar, UpGrad, Unacademy, MyCaptain, Unschool, Digital Vidya, Skill Academy by Testbook, Udacity, and Kraftshala.

A consistent academic achiever, Megha is a gold medalist in Economics Honours for all three years of her degree and a CBSE state topper in Class 12. Her approach to teaching combines creativity, consumer psychology, and analytics, making digital marketing practical, strategic, and industry relevant. She is known for simplifying complex marketing concepts into clear and actionable learning outcomes that enable students to apply skills in real business environments.

Megha continues to actively consult and teach, helping future marketers gain practical skills, build strategic thinking, and unlock global career opportunities in the digital economy.

As a Senior AI Engineer, Calvin Neo oversees AI projects, generating millions of dollars in value for diverse companies. Calvin is a dedicated mentor, having directly trained and guided over thirty AI apprentices and providing critical technical leadership to the wider AI engineering team.

I am a technology professional with a strong background in software engineering, data platforms, and AI-driven solutions. I have led complex technical initiatives, designed scalable architectures, and collaborated with cross-functional teams to deliver systems that generate measurable business impact. In addition to my hands-on technical work, I have extensive experience mentoring learners through Udacity programs, supporting professional development, and knowledge transfer. I actively contribute to open-source projects, share best practices with the community, and regularly speak at technical events, workshops, and knowledge-sharing sessions.

I'm a B2C and B2B marketing leader with over 15 years of experience driving audience growth, demand generation, and digital transformation across insurance, e-commerce, retail, and agency environments.

I specialize in full-funnel digital marketing strategies — from performance marketing and SEO to conversion rate optimization, paid media, and lifecycle email campaigns. I've led the buildout of MarTech stacks, scaled high-performing teams, and delivered measurable revenue and acquisition growth through data-driven execution and strategic leadership.

Known for aligning cross-functional teams and turning complex problems into scalable solutions, I thrive at the intersection of creativity, analytics, and customer-centricity.

As a Data & Analytics Leader my professional journey revolves around transforming complex data into actionable insights that drive strategic decisions across Organization. My expertise in data storytelling enables me to communicate intricate analytics in a way that facilitates understanding and action. An Engineering graduate and Management professional from IIM Mumbai, I hold a CSCP certification from APICS and a certificate of excellence in Leadership and Management from Harvard Business School Online, demonstrating my commitment to continuous learning and professional development.

I am a technology professional with nearly a decade of experience in software engineering, specializing in building scalable solutions and driving innovation in emerging technologies. I hold a B.Tech and M.Sc in Artificial Intelligence, and I am currently pursuing an MBA from the Indian Institute of Foreign Trade, focusing on integrating technical expertise with business strategy.

My career journey spans for nearly a decade where I have worked extensively with cutting edge technologies, particularly in the domain of Gen AI, Agentic AI, Data Science. With a strong foundation in both technical development and strategic management, I aim to bridge the gap between advanced AI applications and real world business impact.

Samrat Banerjee is a digital transformation and urban development expert, with over six years of experience in managing and implementing innovative projects for GIZ.

As a seasoned ICT and Digitalisation Advisor, Samrat spearheads the Sustainable Urban Development-Smart Cities initiative, currently in its second phase. In this role, Samrat:

• Leads the end-to-end management of digital transformation and data innovation projects, from planning and design to execution and evaluation.

• Supports the project team and partners with data science and analytics, ensuring informed, evidence-based decision-making.

• Collaborates closely with partners and key stakeholders, offering expertise in digital innovations tailored to project requirements.

• Keeps the team updated on the latest trends and developments in urban innovation and disruptive technologies.

• Communicates innovations effectively to a broad target group, facilitating a seamless exchange of ideas and advancements.

Samrat is driven by a vision of creating smart and sustainable urban environments that enhance the quality of life for citizens and communities. Through his strategic leadership and expertise, Samrat is in the constant pursuit to create impact on the Smart Cities project and beyond.

Dynamic professional with 5+ years of cross-sector experience spanning government/ investment banks digital transformation, project management, data analysis, and AI-driven solutions. Skilled in leading teams, streamlining operations with AI, and delivering impact in technology, governance, and project environments. Adept at working with senior stakeholders, driving digital transformation, and managing multi-stakeholder initiatives.

Ahmed Gamal is a Data Scientist with over six years of experience in machine learning, natural language processing, and large-scale data solutions. He has designed and deployed predictive models, fine-tuned transformer architectures, and evaluated AI systems across advanced NLP tasks such as named entity recognition (NER), machine translation, and OCR.

Currently at Microsoft, Ahmed focuses on building scalable, data-driven solutions that balance accuracy and efficiency. His expertise includes distributed training, multi-GPU optimization, and applied ML for solving complex business problems. Alongside his core work in data science, he has also explored large language models through fine-tuning and prompt engineering for specialized tasks.

I'm a Product Owner with 11+ years of experience in the software industry, evolving from a strong background in Quality Assurance and automation. I’ve led product initiatives across healthcare, telecom, and hiring domains—translating business needs into actionable product roadmaps and collaborating with cross-functional teams to deliver impactful solutions. With a sharp eye for detail and a passion for building value-driven products, I focus on continuous improvement, structured decision-making, and customer-first innovation.

Alaa Ahmed Alshafai is a Senior AI Engineer and Technical Pre-Sales Manager with extensive experience in data platforms, artificial intelligence, and advanced analytics. With a strong track record in leading proof-of-concept initiatives, enterprise AI implementations, and vendor partnerships across Dataiku, Snowflake, Alteryx, and IBM ecosystems, Alaa bridges the gap between business strategy and technical execution. She has played a key role in building AI and data teams, driving digital transformation programs, and delivering high-impact solutions across government and enterprise sectors. Alaa is PMP certified and brings a unique blend of leadership, consulting, and hands-on engineering expertise to every engagement.

Nasim Banu has master's degree in Computer Application from OUAT(Odisha University of Agriculture & technology) Bhubaneswar India.She has certification on Artificial Intelligence nanodegree & Specialization from Udacity and also has certification on Android application development from Coursera.

She has been working as student mentor and project reviewer for software development at Udacity & OpenClassrooms since 8 years. She has helped thousand of students from around the world on web development using Java & Python language. Have reviewed many thousands of projects on data analysis, AI.

Have contributed to few open source softwares. Developed few educational android applications too.

Kanika is a dedicated AI engineering professional specializing in agentic and generative AI systems. With a proven history of delivering robust AI solutions, she has worked with leading platforms including OpenAI, Mistral, Apple, and NVIDIA. Valued for her analytical approach, communication skills, and focus on continuous improvement, she is motivated to advance innovation, impact, and excellence across both industry and educational roles.

Osama is an experienced faculty member with strong skills in computer science and information security. He holds advanced degrees and has broad academic and research experience. His abilities include teaching and research in computer and information security, computer graphics, 3D watermarking, stereo vision, and pattern recognition, with a strong focus on applied and technical problem solving.

I hold an engineering degree and a Master’s in Statistics from Rice University. I am a data scientist specializing in the design and deployment of applied AI solutions, with experience spanning marketing mix modeling (MMM), advertising optimization, and large-scale production ML systems.

My recent work focuses on building agentic, GenAI-powered solutions for enterprise clients, including the development of a holiday campaign planning application for Coca-Cola. I have led initiatives that integrate customer data, insights generation, and campaign strategy using LangGraph and other multi-agent orchestration frameworks.

I am particularly interested in unlocking business value through scalable AI systems that bridge advanced modeling, agentic solution, and real-world decision-making.

• Senior Data Scientist with 12+ years of industry experience in both Fortune 500 and unicorn startup companies in defining, developing, and deploying Machine Learning solutions to solve complex business, science and engineering problems. Proficient in translating business needs into actionable data-driven strategies; Proven records of solving complex data science problems and creating business values for stakeholders through advanced statistical, algorithmic, mining and visualization techniques

• Data Science Instructor with 4+ years of experience teaching ML concepts,  hands-on ML projects, job interview preparation, Databricks, Azure, AWS, python, SQL and statistics, with high student satisfaction.

Simran is a Product Manager with over seven years of experience in the IT industry, specializing in automotive retail and enterprise platforms. She has a strong background in building and managing cloud-based products, integrating complex systems, and collaborating with cross-functional teams to deliver scalable, high-impact solutions. At Tekion Corp, she has led multiple end-to-end product initiatives, including core platform modules, third-party integrations, and internal tooling that improved dealer operations.

Simran began her career in software testing and automation, developing strong expertise in Selenium, Java, SQL, and API testing, which continues to inform her data-driven and detail-oriented approach to product management. Her achievements include driving successful module rollouts, enhancing system reliability through automation, and mentoring team members to improve overall delivery quality. She is known for her adaptability, problem-solving mindset, and ability to translate business needs into well-executed product solutions.

Machine Learning Engineer with more than 8 years of experience in the AI/Data field, starting from data collection, engineering, analysis, and finally data science and MlOps. Fields of interest: 1- LLMOps, Machine Learning, Data Science, Deep Learning, Data Analysis and Big Data. 2-Systems Engineering & DevOps Engineering Work Experience: 1-Systems Engineering (Linux, Systems implementation, Big Data, Application Performance Monitoring, etc) 2-Data Analysis/Science/Engineering (Python, SQL, Machine Learning, Data On-Boarding, Data Analysis & Data Visualization) 3-DevOps (Mixed Experience in Linux administration, basic development and working with code, customer experience)

Shinto Theruvil Manuel is a Machine Learning Consultant with over two decades of experience building intelligent systems across healthcare, semiconductor, and media industries. He currently leads independent consulting engagements focused on Generative AI and ML model optimization, helping organizations leverage LLMs, retrieval-augmented generation, and semantic search. His recent work includes optimizing transformer models through attention head pruning, INT8 quantization, and TensorRT acceleration for resource-constrained environments.

Prior to his current practice, Shinto served as Lead AI Consultant at Nuevozen, building computer vision models for medical image analysis. He spent nearly five years at Microsoft Corporation on the WebTV development team and held technical leadership roles at HCL Technologies developing device drivers for medical devices and optimization algorithms for semiconductor equipment.

Shinto holds an M.Phil. from Loyola College, Chennai, and an M.Sc. from St. Xavier's College. He is an AWS Certified Solutions Architect, holds professional Python certifications (PCPP1, PCAP), and won the Grand Prize at UC Berkeley's Hacking Health Hackathon in 2012.

Zane has been a technology practitioner for more than 12 years, with experience in software engineering, machine learning and AI. He's currently a director of Gen AI in Manulife leading the architecture and reusability of Gen AI systems.

In his pastime, he is a passionate data science, machine learning and AI educator. His experience includes being an adjunct lecturer in Singapore's tertiary institutes and a lead instructor of data science and AI bootcamps in General Assembly and other tech academies.

Iam a seasoned Branch Manager and IT Operations Leader with over 18 years of experience spearheading government-critical digital services and smart-card projects. Throughout his career, he has successfully built and scaled multiple regional branches from the ground up, including the Beheira branch, which serves over 5 million beneficiaries. His leadership has been instrumental in the success of Egypt’s national bread and subsidy programs, where he consistently manages full P&L and directs cross-functional teams across IT, Customer Service, Audit, and Maintenance departments. With a strong foundation in Computer and Information Sciences from Assiut University, Moamen expertly bridges the gap between technical innovation and operational excellence. He notably developed custom C# monitoring tools that reduced maintenance response times by over 40% and has managed hundreds of daily incidents with 100% accuracy. Beyond his executive role, Moamen is a highly active technical mentor and reviewer for Udacity, specializing in Data Analysis, Python, Cloud Development, and Cybersecurity. He holds an impressive array of certifications in advanced technologies like Spark, Kafka, and AWS. Fluent in both Arabic and English, Moamen is recognized for his high level of self-motivation, stakeholder management skills, and a proven track record of delivering 100% partner satisfaction in high-pressure, large-scale environments.

Ahmed Yasser is a Technical Program Manager with deep experience delivering large-scale banking and fintech programs across the GCC. He leads multi-team initiatives at D360 Bank, driving regulatory-compliant digital solutions through strong technical oversight and disciplined Agile delivery. Previously, he served as Senior Scrum Master at Boubyan Bank and held Agile leadership roles at Vodafone and other tech organizations. With a background in software development and multiple certifications—including PMP, PMI-ACP, CSM, and SAFe—Ahmed combines technical expertise, product thinking, and high-performance team leadership to consistently deliver impactful results.

Product Manager driving AI-powered technology at Raisa Energy ($1.5B oil & gas investment firm managing

$2B+ assets). Leading Jarvis platform and financial abstraction layer for institutional-scale energy portfolio

management. Previously at Amazon Payment Services, delivered measurable FinTech results including 100+

basis point payment acceptance improvements and 75% reduction in merchant onboarding times. Expertise in

data analytics, cross-functional leadership, and scaling technology solutions.

Exuberant data engineer & AI enthusiast, having more than 7 years of experience, worked with renowned fortune 500 brands, very passionate about learning and development. I like challenging situations where I can use my skills and experience to solve problems.

ACHIEVEMENTS/ACCOLADES

• DSV: Received an overachiever award for consistently delivering high- quality results and fostering strong team collaboration.

• Nagarro: Within the first quarter of joining Nagarro got the nomination in Caring Cheerboard October,2021 for commendable project deliverables.

• Emerson IT Solutions: Got 7 times Star Nominations within two years from project delivery excellence by the immediate manager to organizing yearly e-crest fest by director HR. Udacity I had been given an opportunity to mentor students, review their project submissions and help them in achieving their career goals

• Udacity: Working with Udacity as a independent consultant from 2018 (more than 7 years already) and have been awarded with elite mentor awards multiple times and also recognised for going great personalise reviews in the past.

Amit Lathiya is a Engineering Lead with over two decades of experience in enterprise product development, cloud automation, and Generative AI. He has led high-performing global engineering teams to build scalable, cloud-native automation frameworks, multi-agent AI systems, Kubernetes-based orchestration platforms, and RAG-driven knowledge solutions. At Duck Creek Technologies, Amit drives AI-enabled engineering innovation, DevOps automation, and large-scale cloud modernization initiatives that significantly improve productivity, reliability, and delivery efficiency. Previously at DXC Technology and Wipro, he led machine learning, modernization, and enterprise software development programs for major insurance clients. Amit holds a Bachelor of Engineering in Computer Science and multiple Udacity Generative AI Nanodegree credentials.

Currently, I am working as a research scientist and doing my part-time PhD from Indian Institute of technology-Delhi (IIT-D). My professional journey started in 2017 wherein I started building my first startup. I won couple of national startup competitions and won grants of 5 lakh dollars. My primary role was to develop deployable machine learning models on micro-controllers. Then I joined IIT-D as a research scientist. Here I am working on a project to develop hardware and software to diagnose brain related diseases using fNIRS and EEG signals.

Versatile business and marketing analytics consultant with over 15 years of experience supporting data-informed decision-making across diverse industries. Experienced in marketing analytics, data analysis, reporting, and data visualization using tools such as Tableau, Excel, and Google Analytics (GA4). Skilled in translating complex data into actionable insights to support strategy, performance optimization, and decision support. Completed a motion graphics design specialization, combining data storytelling with visual communication to enhance clarity, engagement, and impact across analytics and marketing initiatives.

I have approximately 1.5 years of hands-on Data Science and AI engineering experience, which I've gained through a combination of full-time work, freelance projects, and intensive training programs. Currently, I work as a Machine Learning Engineer at BorderlessHR Inc., where I develop and deploy ML models for recruitment workflows, including AI-powered systems for personality testing, CV parsing, and job matching. I also work as a freelance AI Engineer on Upwork, specializing in NLP and machine learning solutions. My experience spans the full data science lifecycle: data preprocessing, exploratory analysis, model development, optimization, and deployment. I've worked on diverse projects including time series forecasting for marketing analytics, RAG-based chatbot systems for document QA, and real-time interview transcription with automated candidate evaluation. I'm proficient in Python and experienced with TensorFlow, PyTorch, scikit-learn, and the Hugging Face ecosystem. I specialize in NLP and Large Language Models, having built multiple production systems using LangChain, OpenAI API, and vector databases. I'm also skilled in model deployment using Docker, FastAPI, Flask, and Streamlit, with experience in cloud platforms and MLOps tools. While I'm relatively early in my career, I've gained substantial practical experience through real-world projects and have demonstrated the ability to translate business requirements into effective AI solutions.

Dr. Ramiz Assaf is an Assistant Professor of Industrial Engineering at An-Najah National University in Palestine. Born in Nablus on June 21, 1983, he is dedicated to advancing engineering through research, teaching, and professional contributions[]](https://staff.najah.edu/ar/profiles/3077/). Dr. Assaf earned a Ph.D. in Mechanical Engineering from Politecnico di Milano in 2012, focusing his research on "Output Variability in Multi-Stage Manufacturing Systems". He also holds an MSc in Engineering Management (2008) and a BSc in Industrial Engineering (2005).

Before joining An-Najah National University in September 2022, Dr. Assaf was an Assistant Professor at the University of Business and Technology (UBT) in Jeddah,KSA from 2016 to 2022, where he contributed to program development and quality enhancement . His teaching expertise includes Engineering Economics, System Analysis, and Production Planning. Dr. Assaf's research has resulted in publications on renewable energy, quality management, and optimization. He has also been involved in committees for curriculum development, accreditation, and program improvement. From October 2020 to July 2021, he served as the College Quality Coordinator in the College of Engineering and managed the process to obtain Saudi Academic accreditation for four programs: Industrial, Civil, Software, and Electrical Engineering.

I have a strong background in Mobile Networks, Connectivity services, marketing and business analysis for Telecom Services. Currently, I am working on gaining more hands on experience involving Data science, Business/Data analytics, Data mining for Marketing and Internet of things.

Sal is a director of data and analytics with over 15 years of professional experience. He has helped clients address their most pressing data and analytics challenges. He has significant experience with foundational data programs such as building up and implementing pragmatic data governance (DG) and quality as well as transformational “Next-Gen” data initiatives from Big Data and analytics, to interactive visualization, and AI / Machine Learning adoption.

The following are highlights of some of Sal's more recent projects:

Led a large-scale initiative to scale and stabilize and internal data platform and analytics solution

• Led execution of strategy to scale cloud hosting and solution architecture to meet usage demand

• Aligned Data Engineering, Product, Data Science, DevOps, and Tech teams on a single execution roadmap

• Established framework for analytics’ microservices monitoring, alerting, and performance measurement

• Trained product owners/managers on key tooling involved in infrastructure monitoring (e.g., Datadog)

• Impact: a substantially enhanced analytics provisioning user experience by improving stability to 99.5%

LIBOR Exposure Self-Service Data Analytics

Led sale and delivery of a data analytics project to calculate LIBOR Exposure

• Developed analytical workflow to ingest large trading and reference rates datasets

• Performed algorithmic calculations and attribution to determine LIBOR exposure, along with visualization

• Led team to perform validation and testing of workflow, along with knowledge transfer / handoff to client

• Impact: Successful delivery of a flexible, self-service analytical solution that solved a critical business problem

Data Organization Design / Implementation - Global Bank

Led team of 15 to develop data organization to help global foreign bank prepare for Intermediary Holding Company conversion and set up a global CDO function:

• Supported CDO in defining data organization strategy, along with implementation

• Developed centralized analytics, lineage, and DQ tools to manage hundreds of data attributes

• Led developing and rolling out data governance training to business and control functions

• Reported to Americas Finance COO, CDO, and other senior executives (Americas Finance COO)

• Impact: Successful setup of data organization and highly positive regulatory feedback

Hello! I'm Zohaib Khawaja, currently a senior AI engineer at Microsoft, with experience as a Senior AI Architect at Nordic Global and a Solutions Architect at AWS. Outside of my day job I am an adjunct professor at Houston City College. Outside of my professional life I play as a professional e-sports player, play chess in local tournaments (you could probably beat me haha), go on hiking trips with my friends group, and travel the world with my wife

I guide and mentor aspiring developers in building innovative applications that solve real-world problems. With over 8 years of experience in software development, I bring practical expertise across Backend, Frontend, and Cloud Development. My goal is to help students bridge the gap between theory and practice, gain hands-on skills, and stay ahead of emerging technologies and industry trends.

Senior Android Developer with over 8 years of experience designing, developing, and maintaining high-quality Android applications. A graduate of the Faculty of Computers and Information, Cairo University, with a strong foundation in software engineering principles and mobile architecture. Experienced Android Instructor with over 4 years of teaching Android and Java, combining hands-on industry expertise with a passion for mentoring and knowledge sharing.

I'm a dedicated Lifecycle Marketing Lead with six years specializing in data-powered campaigns and customer segmentation for e-commerce, fintech, and B2B/B2C platforms. Leading a team of 10 at Cartona, I spearheaded launches for features like BNPL and Smart Ordering, lifting user sign-ups by 20% and loyalty by 30% to fuel revenue growth. At Koinz, I doubled click-through rates with tailored messaging and led tests across Egypt, UAE, and KSA markets.

I utilize my Computer Science degree alongside professional marketing and analytical skills with tools like Klaviyo, Google Analytics, and Tableau for refining customer paths, running A/B experiments, and basic SQL analysis to drive results and make data-driven decisions.

I obtained my Bachelor's degree in Computer Engineering, my Master's, and my PhD degrees in Electrical and Computer Engineering from Toronto Metropolitan University. While completing my PhD at TMU, I served as a part-time instructor for several engineering courses and served on several committees and boards representing students and faculty for academic and social issues. I have over a decade of industry experience in computer vision, perception and robotics, as well as worked for companies of varying sizes. This ranges from being the first engineer at a small startup to being a research engineer at a company with over 10,000 employees. My research experience and technical background are varied across all facets of perception and robotics - camera calibration and camera arrays, autonomous mobile robotics, self-driving cars, 3D reconstruction, virtual reality, augmented reality, 3D mapping, medical decision support systems, localization, MLOps, and building generative AI tools for accelerating game development. I am currently a Senior Research Scientist at Electronic Arts, where I build computer vision and generative AI tools to help technical artists quickly iterate with designs and help improve their workflows for developing games. In the past, I also served as a team lead and manager, where I managed an internationally remote team of researchers and engineers on building 3D mapping-related tools. I am also a Senior Member with the Institute of Electrical and Electronics Engineers (IEEE), a registered engineer with the Professional Engineers of Ontario (PEO) and a member of the Ontario Society of Professional Engineers (OSPE). In my off time, I am an advocate for education and constantly volunteer for initiatives to help underrepresented communities pursue a career in STEM, as well as serving on the Electronic Arts Asian American and Pacific Islander (AAPI) council.

I have a broad background in networking, cloud technologies, cybersecurity, data science, and artificial intelligence, and I enjoy bringing this experience into my teaching. My work has involved designing and troubleshooting large-scale network systems, improving wireless and cloud performance, developing secure architectures, and applying automation and machine learning to real engineering challenges.

I specialize in AI and machine learning, including supervised and unsupervised learning, neural networks, optimization techniques, signal-processing-based models, edge intelligence, and federated learning. I also have strong programming skills in Python, SQL, C/C++, JavaScript, and Linux, and I regularly work with APIs, automation frameworks, and modern development workflows. My database background includes SQL, relational modeling, query optimization, database security, and AI-driven SQL tools that integrate machine learning directly into data analysis.

Teaching is one of my biggest passions. I focus on making complex concepts clear, practical, and engaging. My approach emphasizes hands-on learning, real-world examples, and supportive guidance to help learners build confidence as they develop technical skills. I’ve taught topics such as programming, database management, cloud foundations, cybersecurity, wireless systems, and applied machine learning.

My academic journey includes advanced studies in engineering, data science, and business, with ongoing work in electrical and computer engineering that deepens my understanding of communications, signal processing, and intelligent systems. I’ve also contributed to research in areas like edge computing, wireless optimization, federated learning, smart manufacturing, autonomous systems, and digital holography.

Teaching is one of my strongest passions. I focus on making complex topics approachable, practical, and meaningful, using real-world examples, guided explanations, and hands-on practice to build confidence and skill development. I’ve taught learners in areas such as programming fundamentals, database systems, cloud foundations, cybersecurity, wireless communications, and applied machine learning, and I always aim to create a supportive learning experience that helps each student progress.My genuine passion for technology, innovation, and teaching drives me. My goal is to support learners as they strengthen their technical foundations, grow their confidence, and develop the skills they need to succeed in today’s rapidly evolving tech world.

◆ 10+ Years of Overall Software Development Experience. ◆ Reviewed 500+ Projects as Project Reviewer from AI, Java, C++, Python, and DevOps for Udacity. ◆ 6+ Years of Flutter Development Experience. ◆ Developed 15+ Mobile Apps using Flutter Framework. ◆ Worked as Team Lead to build the apps from scratch. ◆ Completed 25+ Projects including Apps, Backend APIs and Cloud Infrastructure. ◆ Decreased Cloud cost for a startup by 70% using custom python scripts deployed in the compute engine.

As a Cloud and Data Senior Engineer, I design, deploy, and support cloud IaaS/PaaS for Enterprises and Service Providers, using technologies such as OpenStack, AWS, IBM Cloud, Docker, and Cisco ACI. I have a strong background in Data Engineering, Cloud Engineering, Core Networking, and Container Orchestration, with certifications in Advanced Cloud Development, AWS Data Architecture, and Building Amazon Q Apps using Amazon Q Business.

Abhishek Mann is a machine learning engineer and AI mentor who builds production-grade generative and multimodal systems with strengths in large language models, vision-language models, and retrieval-augmented generation. At EY he designed an automated advertisement compliance solution that reduced review time from three to four weeks to 45 minutes. At the Reserve Bank of India he helped lead the video KYC chatbot program with MeitY and IIIT Hyderabad, achieving FacePAD performance of F1 0.9502 and APCER 0.0058 and delivering speech recognition using Whisper for Indian dialects. He has mentored 500+ learners with a 4.8 out of 5 rating.

A Frontend Developer and technical educator with over six years of experience in building robust, user-centric web applications and fostering talent in modern web technologies. As Technical Lead and Front End Development Instructor at the Information Technology Institute (ITI) in Cairo since 2020, he has designed and delivered industry-aligned frontend curricula, mentoring over 150 developers and achieving a 97% graduation rate with consistently high student satisfaction. Since 2019, he has served as a Frontend Development Mentor and Project Reviewer at Udacity, providing personalized guidance and code reviews to more than 5000 students in the Frontend Nanodegree program, maintaining a 95% mentor quality score. Additionally, I founded and leads Offerlna, an e-commerce platform emphasizing React-based performance and responsive design, and contributes as an AI/NLP Data Curation Specialist at Outlier, curating culturally nuanced Arabic language data for advanced AI models. My expertise spans React, JavaScript (ES6+), modern CSS frameworks, and project-based learning methodologies. I holds multiple Udacity Nanodegrees in Frontend and JavaScript development, along with certifications from Google and open-source contributions. He is passionate about bridging technical excellence with effective pedagogy to prepare the next generation of developers.

Hi, I’m Ujjwal Sharma, a Technical Lead and software engineer who’s been building real-world applications for over six years. I’ve had the chance to work on everything from AI-powered chat platforms and ERP systems for universities to real-time dashboards for yachts and video conferencing solutions for enterprises. I love taking complex problems, breaking them down, and turning them into something practical and useful.

Beyond my day job, I’ve been a Mentor and Project Reviewer at Udacity since 2017, helping hundreds of students around the world navigate their coding journeys. What I enjoy most is seeing that “aha!” moment when a concept clicks and a student feels confident in their skills. I believe programming is as much about problem-solving and creativity as it is about syntax, and I encourage learners to experiment, make mistakes, and grow. I’ve worked across frontend frameworks like Angular and React, backend technologies like Django, and cloud platforms like AWS and Azure. But more importantly, I know what it feels like to be starting out, sometimes feeling stuck or unsure. I bring a balance of hands-on industry experience and a genuine interest in supporting the growth of upcoming programmers. Having worked closely with teams, clients, and students, I understand both the technical and human side of learning. My goal is to share practical insights, encourage curiosity, and help aspiring developers gain the confidence to build meaningful solutions.

Amir Parizi is a Machine Learning Engineer at Meta with over seven years of experience spanning software development, data engineering, and applied machine learning. He specializes in building scalable ML systems, optimizing large language models (LLMs), and deploying predictive solutions that drive business impact.

Previously, Amir served as a Data Scientist at Fraser Health Authority, where he contributed to healthcare innovation projects, and as a Senior Data Scientist at Staples, where he led end-to-end development of a RAG-powered chatbot, built ML pipelines on Azure/Databricks, and delivered customer analytics solutions for 900M+ transactions.

I am a highly skilled and motivated Senior Software Engineer with over 8 years of experience specializing in Android development using Java and Kotlin, as well as Kotlin Multiplatform (KMP) for building shared modules across Android and iOS.

In my current role, I focus on developing native KMP modules for core payment components, enabling Android and iOS teams to implement only their presentation layers while sharing unified domain and data layers. I have successfully refactored legacy Java and Kotlin modules into KMP to establish a scalable, maintainable shared architecture.

With more than 6 years of experience in the Fintech and Banking sector, I have contributed to top fintech applications in Egypt, covering solutions for prepaid cards, BNPL, investments, medical and insurance services, gifts and offers, and core payment systems with secure transaction layers.

I take pride in designing, building, and maintaining high-performance, reliable, and secure applications, ensuring optimal performance, quality, and responsiveness. I’m passionate about refactoring legacy systems, enhancing code quality, and continuously improving my problem-solving and algorithmic skills.

Rahul Kumar is a GenAI Engineer with an MSc in Data Analytics, specializing in AI technologies including LangChain, LangGraph, CrewAI, LLM fine-tuning, and Azure AI. Proficient in Python for machine learning and data analysis, he develops cutting-edge generative AI solutions. With 6+ years of software development expertise, he architects high-performance systems and leads mission-critical infrastructure. His experience spans fraud detection, financial systems, and cloud-native technologies. He brings additional technical depth in Java, Azure DevOps, CI/CD pipelines, and team management, combining modern AI expertise with enterprise software engineering excellence and academic rigor.

. Certified by Microsoft PL300

2. 17 years of experience at Etisalat Mobile Operator as International Business Developer

3. 8 years Experience as Power BI & Data analytics Freelance Instructor online and onsite

4. Power BI Tutor at the British University in Egypt (BUE), iCareer & Ibn Sinai Academy.

5. Part Time Power BI Developer at Al Abraaj Restaurants in Bahraij

6. 6.MSc in Telecommunications Engineering in 2015 (Thesis was about QoS in 5G network)

7. BSc in Telecommunications Engineering in 2008 (Ranked #4)

8. Published 5 Power BI Courses over Udemy

9. Worked as international speaker at Spain & Germany conferences

10. PMP Certified by PMI

Salam is a technology strategist & data-driven executive with 15+ years driving AI-led transformation, data strategy, and SaaS innovation across global enterprises. Adept at scaling intelligent platforms, aligning data solutions with business goals, and leading cross-functional teams to deliver high-impact outcomes. Proven track record influencing C-level stakeholders and accelerating digital maturity across regulated industries. A senior manager at Deloitte specializing in product engineering, process automation, and GTM strategy, Salam leads cross-functional teams to deliver innovative solutions for clients across diverse industries. With a strong background in software & AI, Salam thrive at the intersection of technology and business, continuously driving innovation. Salam is passionate about mentoring and fostering the next generation of AI leaders, committed to leveraging technology for business transformation. Salam is an avid life-long learner, and a mentor in the fields of Robotics, AI, & Distributed Systems, with an M.Sc. in AI (Reinforcement Learning - Transfer Learning) for Intelligent Agents, and a Certified Scrum Product Owner (CSPO).

Proven experience in solving cloud challenges with various working experiences in transversal environments, I’m a cloud enthusiast with 15+ Certifications (11 x AWS, 02 x Azure, 03 x GCP, 02 x HashiCorp, 01 x Kubernetes) and I'm a member of AWS Community Builders.

I have studied as systems administrator and worked for companies such as Dassault Systèmes and Kering. However, the focus in my career is on building modern infrastructure that simplifies application deployment. In my current role At Aviv Group, I'm working closely with dev/ops teams to design and implement central tools to reduce toil and improve developer experience.

In my previous role as SRE at Kering, I was part of the TACTIQ team that created and maintained ARSENAL, a centralized platform bringing cloud native principles and technologies to the company. I have been actively involved in designing the architecture of multiple services deployed on AWS and Alibaba Cloud, leveraging various open-source technologies such as Terraform, Vault, Consul, Kafka, Packer, Ansible, Grafana, Prometheus, and Kubernetes.

Since 2024, I have been exploring the world of Generative AI and its applications in the DevOps ecosystem. I enjoy sharing knowledge through articles, conferences, and mentoring on platforms like Udacity and MentorCruise.

Abdalla Abdelrahman is a Lead Data Scientist and part-time professor with a PhD in Electrical and Computer Engineering (Artificial Intelligence) from Queen's University. His research focused on advanced machine learning, optimization, and large-scale data systems. Abdalla’s expertise spans AWS cloud solutions, quantitative analysis, and the development of AI systems for government, industry, and academic applications. He is passionate about mentoring future AI scientists and driving innovation in applied AI.

I'm a technology leader with 10+ years of experience in robotics, AI, and autonomous systems. I have led cross-functional teams building and deploying robotics and ML-driven autonomy for real-world robotic platforms. Known for bridging deep technical understanding with execution leadership, I specialize in scaling teams, translating research into production systems, and delivering complex hardware-software solutions at scale.

Mostafa, Software Engineer with 7+ years of experience in fintech and digitalization. Mentor and Researcher in Data Engineering, Web Development, and Cloud solutions.

Achieved Top 3 Tutors in One Million Arab coders initiative.

I am an analytical leader with over 10 years of experience dedicated to transforming data into a strategic product by engineering scalable systems—such as dbt and AI Agents—that automate complexity and drive high-impact strategy. My career is defined by a commitment to technical excellence and a proven ability to mentor teams in bridge-building between raw data and executive decision-making.

Diverse Industry Impact

I bring a wealth of cross-sector insights to the faculty, having driven measurable value across three distinct industries:

1. Healthcare (Hinge Health & Innovaccer): Architected centralized measurement systems and LLM Judge frameworks to evaluate AI tool faithfulness, delivering $4M in annual savings and securing $1M+ in new contracts.

2. Travel & Operations (Airbnb): Developed demand forecasting tools and optimized global cost centers, resulting in $1M in support cost savings.

3. Fintech (OLA & Gain Credit): Engineered lead-qualification scoring models and automated operational reporting that boosted ROI and optimized sales operations.

Technical Leadership & Program Fit

As a Lead Data Analyst, I have scaled analytics functions from the ground up, mentored junior analysts in metric design, and established governance standards for IPO readiness. My technical expertise spans Python, SQL, and R, with specialized focus on Agentic AI (LangChain, LangGraph) and Causal Inference.

Having recently completed advanced Udacity certifications in Agentic AI and Data Engineering (2025) alongside my B.Tech in Information Technology , I embody the "project-based, real-world" learning philosophy that this Master’s program promises its students.

Dedicated Android Developer and Udacity Mentor with over 6 years of experience in tech education and mobile development. Originally a pharmacist, i transitioned into tech through self-directed learning, bringing a unique problem-solving mindset and analytical approach to software development. I have successfully published 4+ applications on the Google Play Store and mentored hundreds of global learners through Udacity’s Nanodegree programs, reviewing more than 1,000 student projects. My expertise spans Java, Kotlin, Python, and Android development, complemented by recent specialization in AI and data science through Udacity certifications in different courses. I am passionate about leveraging machine learning and deep learning to build intelligent, user-centric applications. I think my cross-disciplinary background—combining healthcare, education, and technology—enables me to approach challenges with both precision and creativity. Committed to lifelong learning and community impact, i continue to explore emerging technologies while guiding the next generation of developers.

With over 10 years of industry experience, I’m a Software Engineer specializing in Data Engineering, Data Visualization, Analytics, and AI/ML, including cutting-edge work in Generative AI. I’ve built scalable data platforms, designed intuitive dashboards, and delivered intelligent solutions that transform raw data into strategic insights.

My journey spans diverse sectors, where I’ve led initiatives in predictive modeling, recommendation systems, and automation using modern ML and GenAI frameworks. I’m fluent in cloud ecosystems, big data tools, and visualization platforms—bringing both technical depth and business acumen to every project.

I thrive in cross-functional teams, translating complex data challenges into impactful outcomes. Whether optimizing data pipelines or deploying AI-driven solutions, I bring a passion for innovation and a commitment to excellence.

Muyiwa is a product and enterprise delivery professional with over nine years of experience building and scaling SaaS platforms at the intersection of data, AI, and customer experience. He has led complex, enterprise-grade initiatives across product management, technical account leadership, and platform operations, specializing in onboarding, integrations, workflow design, and scalable system architecture. With a background in electrical and electronics engineering and an MBA with a focus on business analytics, Muyiwa brings strong technical fluency to product strategy translating complex engineering challenges into clear, user-centric solutions. He has worked closely with engineering, customer success, and go-to-market teams to deliver high-impact platform features, improve time-to-value, and support enterprise expansion through reliable, well-designed control systems. Muyiwa is known for his first-principles approach to problem-solving, customer obsession, and ability to operate in high-velocity environments. He has successfully driven initiatives spanning APIs, data integrations, permissions and access controls, reporting frameworks, and operational tooling enabling organizations to scale securely and efficiently. He holds PMP and Certified ScrumMaster credentials and has hands-on experience across modern SaaS stacks, including cloud infrastructure, data platforms, and analytics tools. Muyiwa is passionate about building foundational products that unlock growth, reduce complexity, and deliver measurable business outcomes utilizing AI.

I am a Senior Data Scientist and AI professional with over 8 years of experience building, fine-tuning, and deploying machine learning and generative AI systems across industry and research environments. My expertise lies in Large Language Models (LLMs), Natural Language Processing (NLP), transformer-based architectures, and scalable ML solutions, with a strong focus on translating advanced algorithms into real-world business impact.

I have hands-on experience working with state-of-the-art LLMs such as Qwen, LLaMA, and T5, including supervised fine-tuning, prompt engineering, cost-performance optimization, and evaluation of generative systems. My work includes proposing novel transformer-level improvements, such as numerical masking strategies for T5 models, which resulted in measurable accuracy gains and peer-reviewed publications. I am deeply familiar with the full AI lifecycle—from data preparation and model experimentation to deployment, monitoring, and optimization in production environments.

Professionally, I have led and contributed to large-scale AI and data science initiatives spanning retail, aviation, logistics, finance, and healthcare. These projects have driven multi-million-dollar experiment wins, revenue uplift, and operational efficiencies through advanced modeling techniques such as Random Forest, XGBoost, Logistic Regression, and deep learning frameworks. I have extensive experience designing end-to-end ML pipelines, implementing A/B testing frameworks, and building decision-support systems that enable data-driven strategy at scale.

My technical skill set includes Python, SQL, PyTorch, TensorFlow, Hugging Face Transformers, Spark, BigQuery, and cloud platforms such as AWS, GCP, and Azure, along with strong knowledge of MLOps, CI/CD, containerization, and model deployment. I am equally comfortable working in research-driven settings and fast-paced production environments, collaborating closely with cross-functional stakeholders to align AI solutions with business and customer needs. In addition to industry experience, I hold a Master’s degree in Applied AI with a strong academic record and have published research in reputable conferences. I am also actively involved in mentorship and teaching, supporting students and teams in areas such as data analysis, visualization, and machine learning fundamentals.

Overall, I am passionate about advancing AI systems that are robust, interpretable, and impactful, and I continuously seek opportunities to apply cutting-edge data science and generative AI techniques to solve complex, high-value problems.

I'm a Motivated Mechatronics Engineer. I'm an Ms.D student in Mechatronics currently. My study primarily focuses on robotics and AI. I have been studying AI since 2018. I have 6 years of teaching experience at various universities in Egypt, serving as a Teaching Assistant, Tutor, and Assistant Lecturer. I have been a Session Lead and Tutor at Udacity for three years. I have a strong interest in academic research. For the current year of 2025, I have two IEEE publications.

I am an entrepreneur, Data Engineer, and AI/ML specialist holding a dual degree (B.Tech + M.Tech) with a minor in Computer Science Engineering from IIT Kharagpur.

As the co-founder of LemonX, I spearheaded the development of a decentralized trading platform, successfully scaling it to $31 million in trading volume. Currently, I am leading AlphaEngine, an innovative AI-powered startup integrating Agentic AI with advanced privacy-preserving Fully Homomorphic Encryption (FHE) technologies to generate secure DeFi trading signals. AlphaEngine is recognized as a finalist at the Startup World Cup, DevConnect 2025, ranking among the top 1% out of over 300 global startups.

My professional experience also includes quantitative research at WorldQuant LLC, where I developed machine learning-driven financial strategies achieving a Sharpe ratio exceeding 2.0. Additionally, as a data engineer at Reliance Jio, I designed and implemented real-time analytics solutions at scale.

Passionate about staying at the forefront of AI advancements, I actively explore emerging models and methodologies, directly influencing continuous innovation within my ventures, particularly at AlphaEngine.

I work at the intersection of technology, learning, and community impact. Alongside reviewing applied AI programs at postgraduate level, I create practical digital and AI services within local communities, helping modernise under-digitised environments and supporting people to build confidence, capability, and future-ready skills.

Ishan is an accomplished product and strategy professional with a robust track record in formulating and executing high-impact business initiatives in collaboration with senior executives. With 9+ years of work experience in the product and strategy domain, Ishan has worked with leading enterprises and governments navigating complex market landscapes across North America, Asia Pacific, Middle East, and Europe, primarily in the fintech, telecom, financial services, and FMCG industries.

I’m a Digital Marketing Consultant and Performance Manager with hands-on experience in growth strategy, media planning, and paid advertising across Meta, Google, TikTok, Snapchat, and Apple. Over the years, I’ve helped leading e-commerce and EdTech brands in the MENA region— scale their performance and achieve sustainable growth through data-driven decision-making. I’ve been working with Udacity for over 5 years as a Digital Marketing Session Lead, mentoring learners and ensuring high-quality program outcomes across multiple tracks.

Physicist by training in love with data, nowadays working as Senior Data Scientist/Machine Learning Engineer. Main working areas include: complex problems solving, big data analytics and machine learning projects and communications with business units and Data Science Dept coordination. Experience managing people or as an individual contributor. In my current role at Affirm, I work as an individual contributor and also coordinate the risk pod to create innovative solutions to improve daily financial risk operations while improving customer experience by combining business and technical expertise to deliver real business value. A true believer of the Lifelong learning path, I constantly learn new technologies and apply them to projects with the final goal to be technologically on demand.