Summary
Daniel Bronstein is a perception software engineer based in San Francisco with eight years of experience building autonomy and perception systems for aerial and underwater robotics. He blends academic rigor (MS in Robotic Systems Development from Carnegie Mellon, 4.17/4.33) with hands-on industry impact—from Navy research on probabilistic graphical models and publishable work to production perception at Zipline. Daniel has implemented simulation testbeds, kinematically-informed path planners, and online 3D surface estimation pipelines, demonstrating strength across C++, Python, MATLAB/Simulink, and system-level integration. He’s comfortable moving between research, prototype hardware, and deployed autonomy, and has a track record of turning formal methods and inventiveness (Coq exploration, a patent-pending underwater sensor) into practical improvements for robust robotic behavior.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Aerospace Mechanical Engineering, Bachelor’s Degree, Aerospace Mechanical Engineering at Brown University
Master of Science - MS, Robotic Systems Development, 4.17/4.33, Master of Science - MS, Robotic Systems Development, 4.17/4.33 at Carnegie Mellon University