Summary
Sergey Parshukov is a Senior ML Engineer with 14 years of experience applying data science and engineering to Mobility, Telecommunications, and Fintech problems, currently working on Trust & Safety and content moderation at Wildberries. He has a strong track record building production-ready ML systems—using SageMaker, MLflow, DVC and Docker—and driving MLOps and data engineering practices from prototype to deployment. His background includes network traffic modeling and revenue forecasting at Tele2, marketplace efficiency and geo-services at Citymobil, and ML engineering across fintech at Libertex, reflecting deep domain versatility. Trained in mathematics and business informatics (MEPhI and HSE), he’s particularly adept at leveraging spatial data for operational gains and occasionally explores backend/fullstack and game development projects in his GitHub side work.
14 years of coding experience
5 years of employment as a software developer
Specialist, Business Informatics, Specialist, Business Informatics at Higher School of Economics
Specialist, Mathematics and Computer Science, Specialist, Mathematics and Computer Science at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
English, Russian