Summary
Sergey Fomin is a backend-focused engineering leader with 10 years of experience, currently leading a team at Yandex where he designs distributed services for machine learning deployment and integrations. He combines deep systems skills in Python and C++ with production-grade data tooling—PostgreSQL, ClickHouse, Redis—to build low-latency APIs, secure on-prem licensing, and fast analytics pipelines. Previously he developed ML systems and computer vision algorithms at ISPRAS, implementing ANN search, anomaly detection, and reinforcement learning in mixed Python/C++ stacks. Sergey’s background in Big Data infrastructure and applied mathematics underpins a pragmatic approach to online/offline testing and no-code integration backends that minimize developer overhead. He is known for shipping pragmatic debugging and telemetry hooks that accelerate troubleshooting without performance cost. Based in Moscow, he brings a blend of research-era algorithmic rigor and production engineering leadership.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Big data: infrastructures and methods of problems solving, Master's degree, Big data: infrastructures and methods of problems solving at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Big Data Infrastructure, Big Data Infrastructure at Школа анализа данных
Data Science and Data Engineering, Data Science and Data Engineering at OzonMasters