Summary
Pavlo Pyvovar is a Junior Machine Learning Engineer based in Tartu with eight years of software experience and a strong academic foundation (MSc Computer Science, University of Tartu, 4.61/5). He has built production-ready ML and data pipelines at Pipedrive and GlobalLogic and developed a Graph Neural Network for city road speed prediction during a data science internship at Bolt that formed the core of his A-graded Master's thesis. Comfortable across Python, NumPy/Pandas, SQL, Docker and ML deployment, he blends research-minded curiosity with practical engineering—self-taught through topics like GNNs and churn prediction systems. Beyond code, he channels his interest in wellbeing and community-building into leadership and communication, believing collaborative teams make better technical products.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 4.61 / 5, Master's degree, Computer Science, 4.61 / 5 at University of Tartu
Igor Sikorsky Kyiv Polytechnic Institute
English, Ukrainian, Russian