Igor Kuznetsov
Research Assistant at TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Dresden, Saxony, Germany
Summary
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Senior🎓
Top SchoolIgor Kuznetsov is a research engineer with nine years’ experience applying deep learning and reinforcement learning to robotics, autonomous driving, simulation and drug discovery. He has built RL and imitation-learning systems for humanoid robots and simulation-based driving products, and recently focuses on persistent memory for ARC-AGI projects at TIB while completing an MSc in Computational Modeling and Simulation at TU Dresden. Igor blends applied research and scalable engineering—shipping production AI at Planner 5D and designing RL pipelines at Oxa and Giant.AI—while earlier work at Insilico Medicine bridged ML for small-molecule property prediction. Based in Dresden, he is comfortable moving between fast experiments and robust system engineering, and often leverages simulation-first approaches to accelerate real-world robot and vehicle behaviors.
9 years of coding experience
7 years of employment as a software developer
MSc in Computational Modeling and Simulation, MSc in Computational Modeling and Simulation at Technische Universität DresdenBachelor's degree, Computer Science, Bachelor's degree, Computer Science at ITMO University
English
Github Skills (11)
pytorch10
deterministic10
arxiv10
few-shot-learning9
metric-learning5
deep-learning4
meta-learning4
svgr3
svg-files2
python2
svg1
Programming languages (1)
Github contributions (5)
schatty/grail
Apr 2020 - Apr 2020
Contributions:16 commits in 4 days
schatty/misc
Mar 2019 - Feb 2020
Contributions:21 commits, 16 pushes in 10 months
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