• Developing the Behavior Planner module at Gatik for L4 autonomous capabilities on urban and highway ODD.

• Expanded the feature set with lane follow and intersection handling for stop signs & traffic lights.

• Comprehensive validation throughout development with unit/integration, simulation and in-vehicle testing.

• Applied Systems Engineering V-model to build a million-dollar fully autonomous off-road vehicle for the US Army.

• Successfully completed the student-led project in time and within budget, while exceeding sponsor’s expectations.

• Deployed ROS-based autonomy stack and performed waypoint navigation (Army Research Lab’s Phoenix stack).

• Leveraged my C++ industry experience to overcome critical project bottleneck of incompatible stack commands. Solved by upgrading the local path planner to incorporate vehicle inertia and contributed the solution to Gitlab.

• Performed Sensor Integration for the onboard Ouster LiDARs, Mako cameras, and Novatel GNSS with PTP sync.

• Created CAN interface by writing a ROS C++ package to communicate with the ECU.

• Integrating Visual Inertial Odometry (OpenVINS) to improve SLAM & reduce dependence on GPS-only odometry.

• Presented cross-functional team updates to the stakeholders over 5 Design Reviews.

• Integrated the Army Research Lab's Phoenix Autonomy Stack with Clearpath's Husky robot.

• Collaborating with research groups to enhance Phoenix stack's perception and path planning capabilities.

• Augmenting ROS-based autonomy stack with a multi-agent global planner built on penalty-based A* algorithm.

• Performing tests using a Unity simulator and on a physical Clearpath Husky robot.

• Worked as a Teaching Assistant for Dr. Benjamin Lawler's AuE 6610 Advanced and Electrified Powertrains class.

• Organized office hours to teach powertrain concepts related to engine operation, transmissions,

supervisory control, and hybrid powertrains. Provided quality feedback through graded assignments.

• Leveraged my undergraduate Computer Science background to conduct coding classes for the course.