Xin Dong
San Francisco, California, United States
Summary
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RockstarXin Dong is a research lead and Harvard Ph.D. candidate with nine years of experience at the intersection of machine learning, computer architecture, and networking, focusing on efficient, predictable deep learning systems. He has driven production-scale LLM and multimodal model training at NVIDIA, SonyAI, and ByteDance Seed, and his academic work spans compression, distributed training, and trustworthy AI with papers in top venues like CVPR, ICML, ICLR, and ECCV. Xin combines systems-level rigor with model-centric innovation—optimizing training infrastructure while advancing algorithms for model compression and privacy. Based in San Francisco, he blends industry research leadership with deep academic roots, having collaborated at NTU and UCSD and contributed to real-world deployments such as on-device avatar and VR compute systems.
10 years of coding experience
Github Skills (100)
python10
distributed-computing10
security10
deep-learning10
gpu10
compression10
acceleration10
numpy10
differential-privacy10
neural-network10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
Programming languages (8)
Github contributions (5)
XinDongol/Notes
Feb 2018 - Jan 2023
Contributions:11 commits, 44 pushes, 1 branch in 5 years
justimyhxu/MainSubsidaryBNN
Mar 2019 - Jul 2019
Contributions:10 commits, 5 pushes in 4 months
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