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.

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

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.

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.

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.

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.

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.

Mayur Madnani is a seasoned AI and data systems engineer who has designed and scaled platforms at JioHotstar, Intuit, Walmart, and SAP. Beyond solving large-scale engineering challenges, he is passionate about mentorship, guiding engineers through Udacity programs, technical workshops, and community engagement. His blend of hands-on expertise and people development has earned him industry recognition, publications, and multiple patents.

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.

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.

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.

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.

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'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.

I'm a motivated Mechatronics Engineer with a strong background in Mechatronics as an undergraduate and AI as a postgraduate student. I incorporated AI and Computer vision into a navigation task in my master's thesis work and research, where I combined my knowledge of robotics and AI to perform the task of obstacle avoidance, as you can see in my preliminary results.

I recently published two Scopus-indexed research papers. They are still in the publication process. However, I provided their preprints on arXiv.

Beyond research, I am deeply passionate about teaching and knowledge transfer. I believe that the best way to master a subject is to prepare it for others. Actually, nothing gives me more satisfaction than seeing my students complete their learning journey and graduate successfully.

I'm now passionate about learning Generative AI and Multi-Agent Systems, as new topics, and I am willing that my knowledge and career experience would be sufficient to help your students in different programs achieve their goals and succeed.

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.

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.

• 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.

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.

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.

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.

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.

. 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

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.

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.

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.