Wei Fan is a Staff Software Engineer in Mountain View specializing in visual understanding and generative models, with seven years of experience bridging research and production. He has led multimodal foundation and product modeling efforts at Google, contributing data and training strategies to high-impact projects like Multimodal MUM and early Gemini variants for Search & Ads, and earned internal tech impact awards for that work. His background spans academic image-forensics research through postdocs and industry roles, giving him deep expertise in image generation/editing dynamics and detection techniques. Currently at Google DeepMind working on agents, he combines hands-on model training, retrieval and encoder-heavy systems with productization experience. Colleagues describe him as a technical leader who moves innovations from papers into scalable search and ad systems while keeping a strong experimental research mindset.
7 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Application Technology, Doctor of Philosophy (Ph.D.) Computer Application Technology at Beihang University
Doctor of Philosophy (Ph.D.) Signal Image Parole Télécoms, Doctor of Philosophy (Ph.D.) Signal Image Parole Télécoms at Grenoble INP - UGA
Contributions:12 PRs, 54 pushes, 18 branches in 9 months
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Wei Fan - Staff Software Engineer at Google DeepMind