James Baxter is an autonomous systems researcher and engineer with eight years of hands-on experience prototyping hardware and software for mobile robots, from perception and drive-by-wire integration to control and state estimation. He completed a Mechanical Engineering BS at Purdue with a CS minor, led student robotics programs that built real-world competitive systems, and transitioned into graduate research at the University of Michigan focusing on estimation, planning, and control for off-road autonomy. His industry work includes ADAS research at Ford—where he developed objective radar-to-LiDAR evaluation metrics and integrated prototype software into an F-150—and multiple internships building pose estimation, SLAM improvements, and simulation environments for UAVs and UGVs. Comfortable across ROS, C++, embedded systems, and CI pipelines, he brings a rare combination of rapid prototyping fluency and rigorous research mindset. Notably, he has repeatedly bridged theory and practice by shipping vehicle-integrated autonomy demos that validated algorithms on physical platforms.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Pine-Richland High School
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Michigan
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Purdue University
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