Contributing to the design and implementation of an autonomous vehicle perception pipeline for a 2023 Cadillac Lyriq- Documented the planning stage of the team’s software stack- Developed seven software requirements for a high-level sensor fusion pipeline- Researched four potential sensor fusion algorithms and determined the most suitable by comparing expected performance with complexity - Proposed a method for fusing processed data from team-added sensors by calculating the overlap between detections- Implemented a prototype algorithm in Python for fusing data from 2 different sensors using a Kalman Filter

- Took the lead on writing Java code for a remotely controlled robot built by a team of 25 people- Collaborated with other sub teams to discuss software requirements, and provide updates on various subsystems- Developed an OpenCV pipeline for basic vision processing through a Raspberry Pi- Designed an autonomous routine for the robot to follow before driver control was established- Continuously documented changes and updates through the team's GitHub- Assisted with the robots wiring and electrical design