- Verification and validation for sensing systems that enable the World's Most Experienced Driver, including positioning, cameras, microphones, and lidar.- Building tooling to more reliably produce critical simulation results for release signoff.

- Designed and implemented autonomous functionality for a compact track loader, with focus on radar integration, mapping, path execution, and real-world testing.

- Designed and supported labs in which students in Probabilistic Robotics course tested state estimation algorithms on open-source lidar data.- Served as local ROS expert, teaching and supporting students interested in using ROS.

- Developed suite of C++ / Python tools and libraries that help protect confidential company information by encrypting strings in externally distributed ELF files.- Implemented a workaround solution for CAN issues that involves interfacing with the Linux kernel in C to read and publish raw CAN data from USB.- Built and validated Robot Operating System 2 (ROS2) for a custom Automotive Grade Linux (AGL) distro on an ARM processor.- Developed C++ tools and procedures to measure message transport latency of ROS1, ROS2, and other middleware platforms.- Supported effort to evaluate lidar sensors by validating PTP time sync.

- Designed and implemented Android app, featuring Kalman-based motion detection, improved location tracking, crash handling, networked data piping, QR Code scanning, and remote updating.- Built remote user management database to pipe data between user phones and engineers.

Produced 1/7-scale racecar to explore autonomous navigation:- Wrote user-space drivers in C for IMU and 360-degree lidar.- Developed common mapping (Segmentation, Occupancy-grid) and navigation (Waypoint, Wall Follow, A* search, Artificial Potential Fields) algorithms in C++.- Developed a novel emergency obstacle avoidance algorithm that adjusts car's heading based on "Circles of Concern."- Produced MATLAB robot visualization tools with a data pipeline that integrates with preexisting logging system.- Documented vehicle development in a series of articles/videos and provided readable example code to current/potential NetBurner clients.

Automated quality checking of microspherical shells using an industrial robot, cameras, and machine learning:- Developed subsystems which reduced system operation time by 75% and increased accuracy by 25%.- Used Solidworks, high-res SLA printing, machining, circuit prototyping, and C/LabVIEW code to implement these subsystems from the ground up and integrate them with the team’s work.- Evaluated pre-trained CNN candidates and improved existing ML and image processing algorithms in MATLAB.

- Managed robot development- GitHub repository, timelines, communication, budget, delegation of tasks.- Researched, evaluated, and integrated new sensors and motors.- Designed curriculum to prepare beginning students to take on integral roles during competition season: taught students to program in C++, wire robots, develop PID control and autonomous navigation algorithms, and interface with SPI and I2C protocols.

- Led wiring of homes on monthly homebuilds.- Planned and implemented hands-on engineering activities for youth in seven underprivileged communities.