Summary
Annika Frye is a robotics software engineer with eight years of multidisciplinary experience building autonomy and perception systems, currently developing C++ ROS solutions for the FHWA CARMA connected and automated vehicle program at Leidos. She holds an MS in Computer Science and Engineering (thesis on relative pose-based distributed state estimation) and has hands-on expertise across embedded systems, sensor calibration, and large-scale data collection pipelines that stream 100GB/hr from cameras, lidars, radars, and GPS. Comfortable from ARM assembly to Python, she has built ROS tooling and an open-source multi-agent systems toolbox, plus practical experience validating visual fiducial markers and creating sensor driver wrappers. A former FIRST participant and long-time mentor, she blends deep systems-level knowledge with strong mentorship and operational leadership in fielded vehicle tests. Notably, she pairs rigorous academic work on distributed estimation with real-world systems engineering—designing dockerized ROS deployments and managing dozens of live data collection runs.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science and Engineering, 3.91, Master's degree, Computer Science and Engineering, 3.91 at South Dakota School of Mines and Technology
English