Architect, design, and engineer robotics and computer vision software for autonomy of electric tractors

Lead embedded firmware development and testing for safety critical vehicle control using CAN protocols

Implement EKF sensor fusion of IMU, wheel speed, and control signals for accurate odometry estimation

Develop vehicle control and trajectory following algorithms for skid steer and four-wheel-steering robots

Mentor internal and external engineering teams to resolve complex problems and promote best practices to enhance code quality

Developed drivers in Rust, C++, and Python for real-time data acquisition and logging from cameras, LiDAR, IMU, GPS, and CAN

Deployed UKF sensor fusion of IMU, wheel speeds, and RTK-GPS for centimeter-accurate localization

Owned system testing and integration, including automated build and test GitHub CI/CD pipelines

Fostered an active open-source community through API development and managing community support

Integrated subterranean UAV hardware and software systems and performed field testing for underground search and rescue missions as part of the DARPA SubT Challenge drone team

Integrated and tuned the deep learning-based object detection and positioning pipeline for subterranean UAVs

Trained and evaluated ML models for semantic segmentation and object detection as part of a multi-agent visual terrain relative navigation pipeline on the Robotic Perception Systems team