Robotics | Mechatronics | Machine Learning
M.S. Mechanical Engineering candidate at Cal Poly SLO building robotic systems that perceive, decide, and act across hardware, software, sensing, and control.
Currently focused on LLM-guided robot manipulation, sensor-based validation, automation, and reliable hardware-software integration.
SELECTED PROJECTS
01 / THESIS
Thesis in Progress
Closed-loop manipulation on the Quanser QArm using RGB-depth sensing, YOLO instance segmentation, and an LLM planner. The system sorts and stacks cubes with grasp checks, scene validation, gain tuning, and motion safety limits.
Tools: Python, YOLO, RGB-D sensing, current sensing, Quanser QArm, control tuning, LLM planning
02 / AUTONOMOUS DRIVING
Autonomous Vehicles
End-to-end autonomous driving pipeline using Docker, PilotNet behavioral cloning, YOLOv11 traffic light detection, ROS2, Python, Foxglove validation, and live hardware testing on a small multi-sensor vehicle platform.
Tools: Python, ROS2, Docker, PilotNet, YOLOv11, Foxglove, ONNX, hardware validation
03 / HEALBOT
Vision and Speech Pipeline
Robotic assistant that interprets symptom-focused speech requests, selects the correct item with an LLM, uses YOLO for object detection, and completes pick-and-place actions with the Quanser QArm.
Tools: Python, speech input, LLM reasoning, YOLO, Quanser QArm, inverse kinematics
04 / ROMI
Mobile Robotics
Differential-drive robot using IR sensing, wheel encoders, IMU feedback, heading control, and dead reckoning to complete a closed course with checkpoints and wall detection.
Tools: Python, IR sensor array, encoders, BNO055 IMU, closed-loop control, dead reckoning
05 / DAL-I
PCB and Robotics
Robotic drafting system with an RRP architecture. I worked on electrical design, custom PCB development, board bring-up, wiring, software, and physical system integration.
Tools: PCB design, electrical schematics, board bring-up, soldering, G-code, robotics integration
Technical Skills
About
I like working on projects that connect software, electronics, and physical hardware. My experience includes PCB design, embedded systems, computer vision, control, machine learning, hardware assembly, and mechanical design fundamentals.
For my thesis, I am developing an LLM-guided manipulation pipeline on the Quanser QArm, with an emphasis on perception, feedback, failure analysis, and validation so the robot can act more reliably in the real world.
Cal Poly SLO | Expected June 2026
Thesis: LLM-Guided Robotic Manipulation
GPA: 3.71
Cal Poly SLO | March 2025
Focus: Mechatronics
GPA: 3.68 | Dean's List