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
This repo contains computer vision code for the NRC Autonomous Vehicle competition 2020
Contributions:16 pushes, 2 branches in 4 years 8 months
autonomousvisioncomputer-visionvehiclenrc
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Annika Frye - Robotics Software Engineer at Leidos