Sergey Smetanin
Senior Software Engineering Manager at Snap Inc.
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSergey Smetanin is a Senior Software Engineering Manager based in London with 11+ years delivering consumer AI and mobile products, currently leading Consumer Generative AI at Snap. He has progressed through hands-on engineering and management roles at Snap where he shipped user-facing GenAI features like Dreams, AI Lenses, Generative Camera and Cameos, and previously led large mobile marketplace and payment-integrated projects at Mail.ru and RuBeacon. Sergey blends product-focused leadership with deep technical chops across mobile, backend and ML teams, managing EMs, SWEs and MLEs to move research-grade CV/NLP models into shipping features. He is pursuing a PhD in Computer Science at HSE University, signaling a strong foundation in research-driven problem solving alongside product delivery. Notably, he has led cross-platform teams that built high-throughput marketplace and HoReCa systems and launched Russia’s first coffee order-ahead app, showing an ability to turn novel ideas into operational services.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Higher School of Economics
Русский, English
Github Skills (26)
sentiment-analysis10
computational-linguistics10
nlp-machine-learning10
word2vec9
convolutional-neural-networks9
training-data9
word-embeddings9
ratingbar9
keras9
jupyter-notebook9
nlp8
emotion-detection8
natural-language-processing8
machine-learning8
keras-models8
Programming languages (3)
Github contributions (5)
sismetanin/toxic-comments-detection-in-russian
Feb 2020 - Feb 2021
Toxic Comments Detection in Russian.
Contributions:5 commits, 5 pushes, 1 branch in 1 year
sismetanin/rureviews
Apr 2019 - Oct 2020
An automatically annotated sentiment analysis dataset of product reviews in Russian.
Contributions:5 commits, 4 pushes, 1 branch in 1 year 7 months
sentiment-analysissentiment-analysis-datasetdatasetproduct-reviews
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