Nikita Popov
Research Engineer at Audatic
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolNikita Popov is a research engineer based in Berlin with 10 years of experience applying deep learning, NLP and data-science techniques to production problems. He has driven ML work across startups and large tech—building internationalization tools for Amazon Alexa and researching few-shot learning for drug discovery at Insilico—bridging research rigor with pragmatic pipeline development. At Audatic he continues to translate cutting-edge models into deployable systems, informed by earlier work at Yandex on denoising Transformer training data. Fluent in both experimentation and productionization, he combines academic training from the Higher School of Economics with hands-on experience automating multilingual dataset creation and model adaptation. An unusually practical researcher, he focuses on methods that reduce data bottlenecks and speed real-world feature rollouts.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Higher School of Economics
Russian, English
Stackoverflow
1,070reputation
52kreached
5answers
33questions
Github Skills (105)
markov-decision-processes10
deep-reinforcement-learning10
reinforcement-learning10
keras10
monte-carlo-tree-search10
r9
python9
deep-learning9
pytorch9
data-mining9
classification9
kaggle9
lightgbm8
gradient8
parallel8
Programming languages (10)
Github contributions (5)
Akiiino/Ask-Me-Anything
Nov 2016 - Jun 2017
Contributions:8 PRs, 31 pushes, 6 branches in 6 months
2nd-yearfcshse
Akiiino/Stickerify
Apr 2018 - Dec 2019
Make stickers out of your Telegram messages!
Contributions:3 commits, 1 PR, 4 pushes in 1 year 7 months
telegramtelegram-botstickers
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