Fangzhou Mu is a research scientist specializing in generative and multimodal AI with a decade of experience building data infrastructure, curation methodologies, and evaluation pipelines. Based in California, he has driven production-quality MLLM serving and Day-0 model support at NVIDIA and now advances generative AI research at Meta. His work spans optimizing inference on cutting-edge GPUs, shipping containers and endpoints for frontier models, and inventing novel image restoration and single-image 3D stylization techniques presented at CVPR. Trained with an MS and PhD from the University of Wisconsin–Madison and a top-ranked BS from Zhejiang University, he blends deep academic rigor with fast-paced production delivery. A practical innovator, Fangzhou pairs low-level performance engineering with creative model design to bridge research and large-scale deployment.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
No. 2 High School of East China Normal University
Bachelor of Science - BS, 3.86/4.0 (Rank: 1/33), Bachelor of Science - BS, 3.86/4.0 (Rank: 1/33) at Zhejiang University
Contributions:30 commits, 2 PRs, 22 pushes in 28 days
pytorchrealnvppytorch-implementation
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