About Me

“The best way to predict the future is to invent it.” — Alan Kay

…Inspired by this philosophy, I’m driven to design and build mechatronic systems that bridge hardware and software for real‑world impact. 

I’m a graduate student at Carnegie Mellon University, specializing in Robotics, Control Systems, and Embedded Design.

I build full-stack robotic systems — from STM32 firmware and RTOS schedulers to ROS 2 control pipelines and MPC flight controllers.

My work combines classical control and modern learning — using tools like PID, LQR, LMPC, and PPO to make robots move with precision and autonomy.

I’ve developed systems ranging from hybrid aerial-ground vehicles and autonomous drones to ROS 2 testing robots for real hardware validation.

I enjoy simplifying complex control problems into elegant, real-time implementations that run reliably in the field.

Always curious, I love bridging theory, simulation, and hardware to make robots actually work. 

Education

Work Experience