Mechanical engineer working across robotic modeling, perception, sensor fusion, planning, control, simulation, and quantitative validation.
Selected completed projects spanning robot-aware autonomy, analytical modeling and control, and multi-sensor perception.
Bounded residual torque learning with PPO, SAC, and TD3; PhysX validation investigates payload mismatch, reverse compensation, and intermediate-mass cross-evaluation.
Planner behavior evaluated against robot geometry, continuous clearance, safety-aware velocity, and mission-level execution.
Calibrated 3D-to-2D projection, object-level range association, segmentation, and robustness evaluation in NVIDIA Isaac Sim.
Published research, algorithm development, and hands-on work with physical robotic systems.