Evgeny Ponomarev
Team Lead Of RL Control Team at Sber Robotics
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolEvgeny Ponomarev is a robotics and automation leader with 10 years of experience blending academic rigor (PhD in Computer Science) and industrial delivery in computer vision, deep learning, and reinforcement learning. Currently leading the RL Control Team at Sber Robotics, he trains humanoid robots for locomotion and expressive behaviors, turning teleoperated demonstrations into robust whole-body controllers. His background spans hands-on ML engineering—implementing instance segmentation, object detection, and vision systems for humanoid platforms—and consulting on algorithmic portfolio optimization and agricultural automation. Comfortable in both C++ and Python stacks, he has a track record of shipping prototypes from RGB-D perception to production-ready ML components. Colleagues describe him as someone who enjoys automating complex tasks and finding smart, sometimes unconventional, solutions that bridge research and product.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Skolkovo Institute of Science and TechnologyMaster of Science, Applied Mathematics and Physics, Master of Science, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
English
Github Skills (26)
recurrent10
python10
trading10
machine-learning10
reinforcement-learning10
deep-learning10
tensorflow10
actor10
actor-critic10
data-science9
ml9
deep-neural-networks9
neural-network9
counter5
tf-keras5
Programming languages (3)
Github contributions (5)
evgps/a3c_trading
Oct 2017 - Jan 2023
Trading with recurrent actor-critic reinforcement learning
Contributions:20 commits, 4 pushes, 1 comment in 5 years 3 months
recurrentactor-criticreinforcement-learningtradingactor
leti-ai/nasbench_keras
Feb 2020 - May 2020
NAS-Bench 101 to Tensorflow 2.0 (tf.keras) converter
Contributions:4 PRs, 9 pushes, 5 branches in 3 months
nasdeep-learningtensorflow-2-0benchtensorflow
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