Summary
Yiming Zhang is a research scientist specializing in large language models, computer vision, and multi-modal systems, currently advancing long-video understanding and MLLMs at Netflix. With ~3 years of industry experience and PhD-level research training jointly at USTC and Shanghai AI Laboratory, he has shipped multi-modal LLMs and optimized vision models for edge deployment using tools like TensorRT and OpenVINO. Prior roles include building multi-modal LLMs at Zoom and developing production-ready AI features (face recognition, super-resolution, depth estimation) at DTEN and Wyze, demonstrating a strong bridge between research and real-time systems. Based in Shanghai but with a global academic background, he combines hands-on PyTorch expertise and model compression know-how with a competitive streak—he’s an accomplished League of Legends ladder player in the top 0.08%—which hints at his focus and drive under pressure.
3 years of coding experience
4 years of employment as a software developer
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at University of Washington
Bachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Tsinghua University