- Responsible for optimizing existing functionality and integrating new functionality into the backend of classified software simulations using C++.

Responsible for the overarching design, architecture, and planning of the electrical and software subsystems for the competition vehicle.

- Develop various pieces of software for the perception pipeline of our UAV- Develop internal tools to simplify the translation from simulation to real-world performance of our UAV

- Develop various end-to-end PCBs from initial research, component selection, schematic design, simulation, PCB layout, production, and testing.- Developed smart power module for the rocket with integrated charging and hot-swap

Technical/Systems Lead: Responsible for managing the overall integration of the Unmanned Surface Vehicle (USV) between its electrical, software, and mechanical systems.Software Lead: Developed an intricate interconnected software suite spanning multiple processors featuring custom global/local path planning, obstacle/target detection, mapping, and avoidance.Drone Lead: Responsible for managing the overall design, architecture, and development of the Unmanned Aerial Vehicle (UAV).

Captain of a collegiate level team of 15 members since 2021. Responsible for the planning and scheduling of tasks, game strategy development, trade studies, STEM outreach events, material procurement, and fundraising. - Software Lead: Developed the software backend and system integration between all the sensors and actuators including a tightly coupled machine learning and computer vision stack.- Beacon Localization: Used hydrophones to locate the source of specific frequencies.Design an end-to-end hydrophone system on a custom PCB including preamps, amplifiers, analog filters, and program a microprocessor to analyze sound signals and locate the beacon direction. The beacon localization capabilities enhance the navigation accuracy of the Autonomous Underwater Vehicle (AUV).- AUV Intercommunications: Use acoustic modems to communicate between two AUVs.Integrate modems with AUVs and create a program for their usage. Demonstrate successful communication by synchronized maneuvers upon signal acknowledgment. - Special Recognition for Mentorship to help other teams (2023). - Ranked 7th in the world against 32 university teams for robot performance (2023). - Ranked 4th in the world against 50 university teams for vehicle design (2021). - Ranked 1st in the world out of 33 international university teams (2020) - Placed 1st in Technical Paper (2020) - Placed 1st in Website (2020) - Placed 2nd in Video (2020)- Most Inspirational Team award (2019).- IEEE Oceanic Engineering Society Innovation award (2019).- Ranked 7th in U.S. and 12th in the world out of 59 international university teams for overall robot performance. (2019).- Ranked 2nd in U.S. and 3rd in the world in static judging (2019).

- Guiding and mentoring local and international robotics coaches, mentors, and students for FIRST.- Mentor for FIRST Global robotics teams of Benin and Togo of Africa, as well as Paraguay and Bolivia of South America.- Traveled to Tijuana, Mexico, to participate in a FIRST Robotics Competition (FRC) showcase. Helped other teams with their robot while increasing public interest in STEM.

Deputy Captain of a world championship-level team of 10 members in 2019-2020.Partner with Northrop Grumman on many company-sponsored events including INCOSE and Employee Resource Groups events. Advanced to the World Championship in 2020.

Responsible for developing low-power embedded solutions based on customer requirements. Developed AWS backend utilizing MQTT to interface between IOT, SiteWise, and Amazon Grafana.Worked with FPGA’s (UPduino) and learned professional PCB design and development workflow

Working with professors to develop the code for an xSens IMU using C for rigorous data collection.

- Support a STEM education organization to develop an affordable underwater Remotely Operated Vehicle (ROV) to teach STEM in schools.- Develop navigation algorithms for ROVs based on sensors and user-input, implemented in Python.- Responsible to help develop a product-based curriculum for schools.

Autonomous Drone (2019-2020)- Personal project to build an autonomous multi-rotor drone with vision capabilities.- Designed and built a traditional X-configuration drone with 15-minute flight time and a top speed of 20mph. Includes GPS, barometer, wireless telemetry, and wifi-based live video feed.- Programming using Python on a Raspberry Pi with OpenCV. Vision capabilities include tracking and hand-gesture control.Robocar (2018-19): - A competition for autonomous RC car racing using neural networks.- Trained neural network using transference, allowing the car to fine-tune its model over multiple training sessions instead of building a new one every session.- Competed and won 2nd place at UCSD against university students and professionals.