Summary
Sergey Karpov is a data scientist with 12 years of experience building production-grade ML systems, currently applying his expertise at Авито after a six-year tenure advancing recommendation, moderation and NLP at YouDo. He has deep hands-on experience with big data and real-time streaming (Spark Streaming, Aerospike) and has delivered improvements in auto-moderation, short-text clustering, recommender systems and A/B testing platforms that measurably increased task volume and moderation accuracy. Sergey’s background as a backend developer and engineering specialist in mechatronics gives him a practical systems mindset—he routinely bridges research-grade DL models and robust production pipelines. He also led efforts in antifraud clone detection, uplift modeling and ad effectiveness prediction, showing a balance of applied ML, product impact and operational reliability.
12 years of coding experience
13 years of employment as a software developer
Диплом специалиста по инженерной специальности Мехатроника робототехника и автоматизация, Диплом специалиста по инженерной специальности Мехатроника робототехника и автоматизация at МИРЭА
аспирант Системный анализ обработка и управление информацией, аспирант Системный анализ обработка и управление информацией at Мирэа
Английский, Немецкий, Русский