I build intelligent systems that bridge the gap between digital models and physical reality. Turning algorithms into autonomous machines.
Developing custom reward functions and training environments for complex agent behaviors in PyTorch and stable-baselines3.
Designing genetic algorithms for neuroevolution and topology optimization, focusing on efficient search in large parameter spaces.
Building high-fidelity physics simulations in Gazebo/ROS/IsaacSim to safely test control algorithms before physical deployment.
Constructing pipelines for real problems with the consideration of the industry guidlines of MLOps and LLMOps.