Fan Yang is a Senior Engineering Manager and researcher with 10+ years building and shipping production-scale computer vision and multimodal ML systems, backed by 30+ publications/patents and 3,000+ citations. He has led end-to-end efforts from architecting eBay’s image search for its first conversational chatbot to creating anomaly detection for Google Cloud Inspection AI and optimizing vision models across Photos, Pixel, AR, and Cloud products used by billions. Recently focused on large multimodal model fine-tuning and foundation models for image generation/editing, he blends applied research with product engineering to drive deployable innovation. He has a PhD in computer science, a deep track record of publishing at top venues (ECCV, ICCV, CVPR, KDD, ACM MM), and serves as an active reviewer across 30+ conferences and journals. Colleagues rely on him to bridge research rigor and pragmatic systemization—an approach evident in both core TensorFlow contributions and leadership roles accelerating fashion-focused diffusion and VLM fine-tuning at startups. Based in the San Francisco Bay Area, he pairs academic depth with hands-on product delivery and an unexpectedly laconic GitHub persona as a “Lonely CVer.”
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Maryland
Bachelor's degree Information Engineering, Bachelor's degree Information Engineering at China University of Mining and Technology
Master's degree Signal and Information Processing, Master's degree Signal and Information Processing at Dalian University of Technology
Contributions:59 commits, 34 pushes in 1 year 2 months
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