Petr Kuderov
Junior Research Scientist at Center for Cognitive Modeling, MIPT
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolPetr Kuderov is a computational cognitive neuroscience and reinforcement learning researcher with 12 years of software engineering experience, currently working as a Junior Research Scientist at AIRI and a researcher at MIPT’s Center for Cognitive Modeling. He brings a rare blend of hands-on backend and systems engineering from roles at Yandex and ABBYY together with PhD-level work on biologically plausible learning algorithms, hierarchical planning, and intrinsic motivation. Petr’s research focus is on creating human-like conscious intelligence and autonomous agents, driven by a deep, lifelong curiosity about how the universe and minds work. He navigated a multi-year transition from industry developer to academic researcher, using deliberate sabbaticals to build ML, RL, and neuroscience skills and to compete in international ML challenges. Colleagues benefit from his pragmatic engineering rigor, while his projects reflect both theoretical ambition and practical systems experience.
12 years of coding experience
6 years of employment as a software developer
Middle School Diploma, Mathematics, Computer Science, Middle School Diploma, Mathematics, Computer Science at AESC MSU — Kolmogorov Boarding SchoolMiddle School Diploma (partial, 9 years), Natural Sciences, Middle School Diploma (partial, 9 years), Natural Sciences at Saransk Liceum #4Specialist, mathematician and systems programmer, Specialist, mathematician and systems programmer at Bauman Moscow State Technical University
English
Stackoverflow
3,531reputation
458kreached
101answers
11questions
sql
top-5%
primary-key
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Github Skills (64)
pytorch10
hierarchical10
python10
evaluation10
machine-learning10
reinforcement-learning10
model-building10
keras10
matrix-factorization10
data-versioning10
collaborative-filtering10
deep-learning10
api10
natural-language-processing10
hyperparameter-tuning10
Programming languages (5)
Github contributions (5)
pkuderov/mlda-course
May 2018 - Jan 2019
Contributions:55 commits, 39 pushes, 1 branch in 8 months
Cognitive-AI-Systems/him-agent
Mar 2022 - Dec 2022
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
Contributions:263 commits, 2 PRs, 209 pushes in 10 months
agentmodel-based-reinforcement-learningexhibitintrinsic-motivationadaptive
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