Doyun Kim is a Senior AI Engineer based in New York with 11 years of experience at the intersection of circuit design and machine learning, currently driving AI initiatives at Normal Computing. He previously led research programs at Samsung and Facebook, applying ML to PCB S-parameter and SSD performance prediction and building reinforcement-learning optimization for analog circuit design and SoC power-delivery systems. His background includes designing custom SRAM for AI accelerators and novel voltage regulators during a PhD in electrical engineering at Columbia, giving him deep hardware-software co-design expertise. Comfortable moving ideas from academic proof-of-concept to production models, he blends rigorous analytical modeling with practical optimization frameworks. An early career start in network protocol development rounds out a profile that uniquely bridges low-level hardware design and applied ML for system-level performance gains.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.), Electrical and Electronics Engineering, Bachelor of Science (B.S.), Electrical and Electronics Engineering at 포항공과대학교 / POSTECH
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at Columbia University in the City of New York
Contributions:44 pushes, 1 branch in 3 years 6 months
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Doyun Kim - Senior AI Engineer at Normal Computing