Summary
Tyler Barkin is a Quantitative Developer and robotics-focused engineer with a decade of experience building embedded systems, physical simulations, and reinforcement learning pipelines. He combines hands-on hardware prototyping with software expertise—having driven GNC for UAVs, systems engineering in medtech, and electrical work for robotics startups—so he can take mechatronic concepts from PCB to control loop. Currently splitting time between quantitative development at Global Quantitative Advisors and independent embedded development, he brings edge-AI intuition to latency-sensitive, real-world systems. Tyler also teaches at Harvard Extension School, signaling an ability to distill complex topics and mentor others. Known for pragmatic problem-solving and algorithm design, he is particularly skilled at translating simulation results into robust firmware and control software. Based in New York, he seeks roles where embedded development and on-device AI intersect to deliver tangible robotic capabilities.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at Washington University in St. Louis
University of Pennsylvania
English