Summary
Oleksandr Parfionov is a Head of Engineering and Python specialist with nine years of experience building scalable backends, deploying ML models, and leading R&D for computer vision and applied math-driven products. Based in Kyiv, he combines hands-on development—from Django APIs and Dockerized production deployments to pose-estimation pipelines—with strategic system design to ensure reliability and scalability. He has co-founded and led product development for fitness and health apps that integrate real-time pose estimation, heartbeat telemetry, and social features, turning research prototypes into investor-ready PoCs. Prior roles include building anti-phishing NLP, floor-plan segmentation for automated estimates, and EDA tooling, reflecting a breadth across NLP, CV, and embedded toolchains. Known for bridging research and production, he focuses on smooth model-to-service integration and pragmatic engineering trade-offs. Trained in applied mathematics and physics at MIPT, he brings rigorous analytical thinking to product-oriented ML engineering.
9 years of coding experience
6 years of employment as a software developer
Master's degree in applied math and physics, Applied mathematics and physics, Master's degree in applied math and physics, Applied mathematics and physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor of Applied Science - BASc, applied mathematics and physics, Bachelor of Applied Science - BASc, applied mathematics and physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Secondary school education, natural sciences, Secondary school education, natural sciences at KPNL 145