Wushi Dong
Software Engineer at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolWushi Dong is a software engineer with eight years of experience specializing in LLM inference systems, runtime performance, and distributed ML at scale. Currently at Meta, he focuses on compiler runtime and efficiency for the Meta Training and Inference Accelerator, following work at AWS where he led ML compiler integrations and efficient partitioning of large LLMs for SageMaker. His background includes a Physics Ph.D. from the University of Chicago and HPC-scale research—he helped scale Flood-Filling Network training to 2048 KNL nodes (131,072 cores) for connectomics. Wushi blends deep academic rigor with production-focused compiler and systems engineering, and has a history of open-source tooling from his MPI C++ simulation library to ML repos released during an IBM internship. Based in Menlo Park, he brings a rare combination of low-level performance optimization and practical deployment experience for AI hardware and cloud.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree Physics, Bachelor’s Degree Physics at University of Science and Technology of ChinaDoctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Chicago
English, Chinese
Github Skills (16)
llm10
cuda10
llama10
pytorch10
transformer10
gpt10
mlops10
inference10
llmops10
tpu10
amd10
xpu10
action-recognition9
stream9
deep-learning6
Programming languages (2)
Github contributions (5)
wushidonguc/wushidonguc.github.io
Oct 2018 - Oct 2023
Contributions:2 PRs, 101 pushes, 3 branches in 5 years 1 month
wushidonguc/swan
Nov 2018 - Sep 2019
Contributions:1 release, 19 commits, 15 pushes in 10 months
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