Xin Dong
Research Lead at ByteDance Seed
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolXin 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.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Electronic Science and Technology of ChinaUniversity of California, San DiegoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityUndergraduate Research Assistant, Computer Science, Undergraduate Research Assistant, Computer Science at Nanyang Technological University Singapore
Github Skills (126)
python10
code-generation10
deep-learning10
gpu10
autoencoder10
numpy10
neural-network10
artificial-intelligence10
data-science10
tensorflow10
pytorch10
machine-learning10
triton10
secure-computation9
acceleration9
Programming languages (6)
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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