- Developing novel approach for obstacle avoidance for nonholonomic vehicles in the Aerospace Systems Directorate using Higher Order Control Barrier Functions (HOCBFs) and Lie Derivatives written in the Julia language. (Submission to IEEE this November)

- Programmed a Boston Dynamics Spot Robot Dog in the Manufacturing Directorate (CAMS Lab)
- First project was to autonomously cut a ribbon using computer vision and ROS for the lab’s inauguration ceremony (https://tinyurl.com/57z42b7p)
- Second project involved developing a platform for multi-domain accessibility (utilizing the OptiTrack Motion Capture System to collaborate with QUGVs on the manufacturing floor)

- Developed machine learning pipeline using computer vision for pupil detection utilizing Meta's SAM 2 AI Model.
- Developed different 3-D analytical graphs to assist user in disease detection
- Worked in interdisciplinary team and contributed to app for ophthalmological disease detection deployed to Alcon.

- Developed RFID based real-time object tracking system and presented it to lead astronauts and engineers at NASA -- NASA MINDS Grand Champions
- Led the software and mechanical design of an unmanned aerial vehicle (UAV) for the C-UAS UAV competition at Cal State LA
- Provided weekly instruction to over 40 students in different engineering concepts such as utilizing CAD, programming Arduinos (beginner topics like flashing lights to advanced topics like PID controllers)