Andrei Konstantinov
Преподаватель Вуза at Санкт-Петербургский политехнический университет Петра Великого
Saint Petersburg, Saint Petersburg, Russia
Summary
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Senior🎓
Top SchoolAndrei Konstantinov is an applied mathematician and university lecturer in Saint Petersburg with 13 years of experience developing machine learning methods for medical imaging, survival analysis, and explainable AI. He holds a PhD-level background in physics and mathematics and has worked on semi- and fully-automated segmentation and registration pipelines at Philips Research, as well as on Deep Forest models and treatment-effect estimation. Currently he focuses on more efficient gradient boosting algorithms and hard-constrained neural networks while teaching ML courses to the DLClub community. Colleagues value his blend of rigorous theoretical training and practical engineering that bridges research prototypes to lecture-ready explanations. An understated strength is his track record of turning complex, constraint-driven problems (e.g., medically informed models) into interpretable, reproducible solutions.
12 years of coding experience
Степень магистра, Applied Mathematics, 4.95, Степень магистра, Applied Mathematics, 4.95 at Санкт-Петербургский политехнический университет Петра ВеликогоФМЛ 239
Английский
Github Skills (16)
precompiled9
opencv-contrib9
pypi8
python6
webvtt5
machine-learning5
opencv5
toolchain4
scikit-learn4
sbv3
segment3
vtt3
srt2
subtitle2
read-write2
Programming languages (2)
Github contributions (5)
NTAILab/bosk
Jun 2022 - Oct 2024
A Python framework for Deep Forest construction
Contributions:26 reviews, 90 PRs, 121 pushes in 2 years 4 months
machine-learningpythonscikit-learn
andruekonst/andruekonst.github.io
Jun 2019 - Mar 2025
Contributions:8 PRs, 31 pushes, 6 branches in 5 years 9 months
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