Autonomous Driving Stack on a Real GEM e4
Built and validated an end-to-end autonomous driving stack integrating perception, behavioral planning, local planning, and closed-loop control on a real GEM e4 platform.
Robotics · Autonomy · Perception · Machine Learning
I'm an ECE graduate student at UIUC building intelligent systems across computer vision, machine learning, robotics, and autonomy. My work spans perception, state estimation, planning, control, and production ML, with a focus on turning data and sensor inputs into reliable real-world systems. I've worked on 3D perception and localization, autonomous navigation on a GEM e4 and quadrotor, vision-guided manipulation, and an AI-powered healthcare guidance robot. At Texas Instruments, I built production ML workflows at scale, including model development, backtesting, experiment tracking, and deployment across 338M+ manufacturing records.

From autonomous vehicles and aerial robots to 3D perception, manipulation, and production ML.
Built and validated an end-to-end autonomous driving stack integrating perception, behavioral planning, local planning, and closed-loop control on a real GEM e4 platform.
Developed a vision-based autonomous navigation pipeline combining monocular perception, pose estimation, trajectory optimization, and feedback control for waypoint navigation.
LiDAR-camera calibration · Graph-SLAM · 3D detection · Multi-object tracking
Built components of a 3D autonomy perception stack including sensor calibration, point-cloud processing, object detection, localization, and tracking.
Vision-guided 6-DoF UR3 arm: camera calibration, object detection, inverse kinematics, and closed-loop pick-and-place.
Built an interactive healthcare guidance robot using Whisper, retrieval-augmented generation, and a mobile service-robot interface.
LLM-assisted diffusion framework that turns editing instructions into executable multimodal plans for multi-object image edits.
Co-first author. Robot system integrating navigation, motion guidance, and hospital service workflows on the Temi platform.
Co-first author. Speech-to-text, retrieval-augmented generation, and an LLM, reaching 93% recommendation accuracy in deployment testing, later 99.6% with a reselect model.
Open to full-time robotics, autonomy, perception, and machine learning roles starting after I graduate in May 2027.