Anton Semenkin
Senior Product Manager at JetBrains
Belgrade, Central Serbia
Summary
👤
Senior🎓
Top SchoolAnton Semenkin is a Senior Product Manager at JetBrains in Belgrade with nine years of experience bridging machine learning research and product delivery. He specializes in increasing performance and quality of deep learning systems, blending hands-on ML engineering with strategic product leadership. Having previously served as a Deep Learning Engineer at JetBrains and as a Project Manager, he has steered ML-driven initiatives across multiple teams. An active educator and coder, his GitHub contributions include notebooks on scikit-learn, KNN, gradient descent, and SVD, translating complex ML concepts into practical tooling. He holds Master of Science degrees in Statistical Learning Theory and Data Science from the Higher School of Economics, and is based in Serbia. This combination of research depth, product execution, and a habit of turning foundational ML ideas into accessible materials underscores his unique cross-functional impact.
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
jupyter-notebook10
machine-learning10
python10
data-science10
numpy10
scikit-learn10
knn9
gradient-descent9
twitter6
ssl6
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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