Computer Engineering student at Santa Clara University interested in robotics, embedded systems, and autonomous systems. I enjoy building systems that integrate sensing, control, and hardware.
My projects range from soft robotic sensing research to safety-critical electrical systems in Formula SAE and autonomous drone simulation and control.
Much of my work focuses on understanding how robotic systems interact with the real world through sensing, control, and system design.
Research project exploring embedded sensing methods for continuum robots using conductive elastomers and optical sensing techniques.
Technologies: Embedded sensing, PCB design, soft robotics
Design and implementation of safety-critical electrical systems for Santa Clara University's Formula SAE Electric vehicle.
Technologies: CAN Bus, electrical harnessing, embedded systems
MATLAB/Simulink simulation used to analyze autonomous drone failure scenarios, including motor failure, wind disturbance, and payload variation.
6000+ Monte Carlo simulations achieved a 97.5% safe landing rate.
Technologies: MATLAB, Simulink, control systems
➡️ Repository
A wearable assistive vision system that detects objects in the user’s environment using an embedded camera and computer vision pipeline.
Technologies: ESP32-S3 Sense, computer vision, embedded systems
➡️ Repository