Worked on controls team to build an underwater autonomous vehicle for RoboSub competition.Worked with ROS2 to coordinate subsystems and Gazebo to simulate robots.

Lead software and electrical teams to create competitive FRC robots.Worked on advanced projects with vision tracking, trajectory generation and path following, and closed loop control. Allowed for precise movements of the robot.Heavily contributed to a regional-winning robot. (won San Diego Regional 2022)Also won Innovation in Controls Award for robust robot control.

Created and troubleshooted neural networks for real-time battery powered shopping carts. Using recurrent neural network (seq2seq model) architecture to convert barcodes into numbered text.Created tools to generate training data for machine learning models.