Sergey Karpov
Data Scientist
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolSergey 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 МИРЭАаспирант Системный анализ обработка и управление информацией, аспирант Системный анализ обработка и управление информацией at Мирэа
Английский, Немецкий, Русский
Github Skills (40)
transient10
telescope10
driver10
input-field10
alerts9
astronomy9
autocomplete9
apache-kafka8
python8
gtk8
pipeline8
pyspark8
portal8
fink8
matplotlib8
Programming languages (5)
Github contributions (5)
karpov-sv/fram
Jul 2018 - May 2026
Contributions:80 pushes, 1 branch in 7 years 11 months
karpov-sv/stdpipe
Feb 2021 - Jan 2023
Simple Transient Detection Pipeline
Contributions:6 reviews, 167 commits, 9 PRs in 1 year 11 months
transientmachine-learningpipeline
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