Anton Semenkin
Senior Product Manager at JetBrains
Belgrade, Central Serbia
Summary
👤
Senior🎓
Top SchoolAnton Semenkin is a Senior Product Manager at JetBrains with 9 years of experience bridging deep learning research and product delivery for code-centric AI. He has progressed from deep learning intern to leading development of LLM-driven code completion features, training language models and building analytics pipelines for A/B evaluation. Based in Belgrade, he focuses on improving performance and quality of deep learning systems that power developer tools like Full Line and cloud code completion. His background in statistical learning theory and a master's in data science informs a rigorous, experiment-driven approach to product decisions. Anton contributes to educational ML material on GitHub, including hands-on notebooks on scikit-learn, KNN and gradient descent, highlighting his commitment to practical knowledge transfer. Colleagues describe him as a product-minded engineer who turns complex ML research into reliable, user-facing features.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at SkMaster of Science - MS, Statistical Learning Theory, Master of Science - MS, Statistical Learning Theory at Высшая Школа Экономики
Stackoverflow
1reputation
526reached
0answers
1question
Github Skills (12)
scikit10
machine-learning10
jupyter-notebook10
python10
data-science10
numpy10
scikit-learn10
knn9
gradient-descent9
ssl6
twitter6
openssl6
Programming languages (5)
Github contributions (5)
hse-ds/iad-intro-ds
Feb 2021 - Jan 2023
Role in this project:
Data Scientist
Data ScientistContributions:22 commits, 39 pushes, 1 comment in 1 year 11 months
Contributions summary:Anton added and edited a Jupyter Notebook file (`sem05-sklearn-knn.ipynb`) that introduces the concepts of scikit-learn and k-nearest neighbors (KNN) for machine learning. The file contains markdown cells explaining the overall scheme of machine learning, the scikit-learn interface, and data preprocessing techniques. The user also added and edited another Jupyter Notebook file (`hw05_gd.ipynb`) which contains code for implementing gradient descent. The user made minor fixes to the svd seminar and also added trees seminar.
topshik/skoltech_dl2020
Jun 2020 - Dec 2022
Homework assignments
Contributions:1 PR, 7 pushes, 1 branch in 2 years 6 months
reacthomework-assignmentsjavascriptnodejsreactjs
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