Tai Vu
Palo Alto, California, United States
Summary
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RockstarTai Vu is a research-focused machine learning engineer with six years of experience building and scaling large-scale AI systems, now a Member of Technical Staff, Research at OpenAI after leading LLM post-training, RL, and agent research at Meta. A Stanford CS graduate with Highest Distinction, he blends rigorous academic research (Stanford AI Lab) with production impact—designing efficient models, causal and multimodal representations, and reward modeling for real-world recommender and safety systems. An IMO medalist endorsed by Fields Medalist Ngo Bao Chau, he brings deep mathematical intuition to practical problems like model compression, denoising, and on-device operator optimization. Equally comfortable in low-level C++ optimizations and high-level RL/LLM pipelines, he focuses on making next-generation AI both performant and aligned to create long-term benefits for humanity.
6 years of coding experience
Github Skills (27)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
neural-network10
autograd10
tensor10
gpu-acceleration10
sketch9
jekyll8
jekyll-theme7
computer-vision6
Programming languages (5)
Github contributions (5)
taivu1998/ResNet-Regularization-Pruning
Dec 2019 - Aug 2020
Contributions:15 commits, 13 pushes, 1 branch in 7 months
taivu1998/FlapAI-Bird
Dec 2019 - Nov 2020
Contributions:22 commits, 21 pushes, 1 branch in 11 months
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