Résumé

Robotics / Reinforcement Learning engineer with hands-on experience in ROS 2, C++, and Python for policy deployment, navigation, manipulation, and sim-to-real workflows. Broad software engineering background shipping production software across robotics, AI, mobile, web, and blockchain systems, including many years of full-stack product development.

Experience with RL paradigms including single- and multi-agent, offline/online, and model-based approaches, as well as imitation learning workflows implemented in PyTorch and JAX.

Focus on reproducible training, evaluation, deployment, real-robot lab work, deployable control, and experimentation tooling for autonomous agents, planning, and control.