Robotics & Physical AI Engineer - Reinforcement Learning, Robot Learning & Autonomous Systems.
Background in control systems, embedded engineering and machine learning. Currently pursuing an MSc in Trustworthy AI Systems, working at the intersection of uncertainty-aware reinforcement learning, sim-to-real transfer and explainable robot policies.
Focus: uncertainty estimation in evolutionary reinforcement learning (fitness estimation via uncertainty-aware surrogates) · explainability for RL / IL / BC policies (trajectory attribution, Q-value vs. critic confidence) · safe sim-to-real deployment.
- Reinforcement Learning & Imitation Learning
- Uncertainty estimation & Explainable AI for control policies
- Sim-to-Real transfer & NVIDIA Isaac Sim/Lab environments
- GPU-accelerated RL
- Real-time deep learning deployment on edge hardware
- Autonomous systems & Safe / Trustworthy AI
- E-mail:
jakubgilewicz@wp.pl - LinkedIn:
https://www.linkedin.com/in/jakub-gilewicz-9a4342284/
Always open to feedback, collaboration, and learning from others. Thanks for stopping by!