Robotics Engineering undergraduate at the University of Michigan
Undergraduate research assistant on iGym (AR/XR systems for inclusive play)

I build and study full-stack robotic systems, with a growing research interest in perceptual reasoning and semantic understanding for interactive and human-in-the-loop robotics.

• AI-driven vision models for robotics, with a focus on real-time perception and scene understanding
• Perceptual reasoning using deep neural networks and learned representations
• Semantic and spatial understanding for interaction-aware and adaptive robotic systems
• End-to-end robotics systems spanning sensing, networking, learning, and rendering

• Refactored and multithreaded ROS 2 + OpenCV perception pipelines, reducing latency 12 ms → 5 ms
• Implemented Kalman filtering + Hungarian matching for stable multi-target tracking
• Profiled end-to-end latency across camera capture, ROS messaging, networking, and Unity rendering
• Co-authored and presented a live demo at ACM MobiCom 2025

FIRST Robotics & Mentorship

• President, FIRST Alumni & Mentors Network at Michigan (FAMNM)
• Mentor FRC and FTC teams in control systems, Java, and subsystem design
• Support and lead large-scale robotics competitions and outreach programs