ABOUT ME!

I am a robotics and control systems engineer working at the intersection of autonomy, multi-robot coordination, reinforcement learning, and machine perception. My work explores how classical control theory and modern machine learning combine to build interpretable and reliable autonomous systems. In addition, I also design lightweight experimental platforms and simulation environments to study navigation, coordination, and decision-making in robotic systems. Beyond formal showcase work, I enjoy experimenting with autonomous agents in unconventional environments, from ultra-lightweight drone simulators to reinforcement-learning bots in classic open-source game engines such as Doom and Quake III Arena. These explorations often serve as experimental sandboxes for testing ideas in autonomy, control, and learning.

If you are working on interesting ideas in robotics, autonomy, or intelligent systems, or enjoy experimenting with unconventional autonomy work, feel free to reach out (see contact links at the bottom of the page).