Summary
Zhenyu Lin is an associate engineer in AI modeling with eight years of hands-on experience spanning software development, embedded systems, and machine learning, currently based in the San Francisco Bay Area. With a BS in Computer Science and an MS in Electrical and Computer Engineering from SFSU, he has driven research-to-deployment projects at the Mobile and Intelligent Computing Lab, optimizing deep models to run on Cortex-M microcontrollers and shrinking models by over 85% for real-time inference. His research delivered a muscle-gesture recognition pipeline that lifted accuracy from 64% to 94.9% and used GANs to synthesize realistic EMG data, illustrating both system-level engineering and creative data augmentation. He brings applied expertise in autonomous driving, NeRF, 3D reconstruction, and medical image analysis, and has begun shaping production AI workflows at T-Mobile after an internship there. Known for blending academic curiosity with practical implementation, he also leverages LLMs to personalize STEM learning—an example of his interest in combining AI tools with education.
8 years of coding experience