I possess a robust academic foundation in machine learning, data analysis, swarm algorithms, and numerical methods. Holding a Ph.D. in Computer Science, I bring 14 years of experience in both academic and research settings, marked by thematic article publications and substantial scientific research contributions.
My journey in commercial IT began in 2014, where I engaged in diverse projects within classical data science. My expertise spans from crafting statistical models using R to developing sophisticated time series analysis systems in Python. Additionally, I've gained hands-on experience in various facets of machine learning, including object detection, natural language processing (NLP), large language models (LLM), and ML operations (ML OPS).
Presently, my academic research interests consist of nature-inspired algorithms, meta-heuristics, Swarm AI and evolutionary programming. Also, I have the expertise in generative artificial intelligence, large language models, and their seamless integration into different code base.
Doctoral
2018 – 2023
Computer Science
Ivan Franko National University of Lviv
Associate Professor
Ivan Franko National University of Lviv
2023 – Present
Machine learning engineer
EngenAI
2023 – Present
Machine Learning Engineer
Elcida
2019 – 2020
Assistant Professor
Ivan Franko National University of Lviv
2018 – 2023
Data Scientist
uMuni
2015 – 2019
Researcher, postgraduate student
Pidstryhach Institute for Applied Problems of Mechanics and Mathematics National Academy of Sciences of Ukraine
2010 – 2017
System of Automatic Determination of Ukrainian Text Tone
On the Development of Object Detector Based on Capsule Neural Networks
Algorithm of Tunning Heating Source Thermophysical Parameters in Smart Home
Embedding Sequence Model in STM32 Based Neuro-Controller
Text Tone Determination Using Fuzzy Logic
Comparative Study of ABC and GWO Implementations on Raspberry Pi 3
125h