Dong Li
Member Of Technical Staff at OpenAI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDong Li is a machine learning infrastructure engineer with a decade of experience building high-performance platforms for GenAI and distributed training. He has led TensorFlow2 innovations at Google—shipping a quantization API and a novel SPMD-style model-parallel strategy that enabled efficient training of multi-hundred-billion-parameter LLMs—and later contributed to PyTorch/LLAMA work at Meta before joining OpenAI. His background spans compiler and accelerator-aware optimizations from Qualcomm Research, bringing uncommon cross-layer expertise that links LLVM-style compiler transforms to large-model runtime efficiency. Dong combines hands-on systems engineering with research rigor (PhD-level computer architecture training) to automate model partitioning, profiling-driven placement, and parameter-efficient tuning. Based in the Bay Area, he blends deep distributed-systems intuition with practical tooling that materially reduces inference and training cost.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computer architecture, Doctor of Philosophy (PhD), Computer architecture at The University of Texas at AustinB.E, Computer Engineering, B.E, Computer Engineering at University of Science and Technology of ChinaMS, Computer Architecture, MS, Computer Architecture at Institute of Computing Technology, Chinese Academic of Science
English, Chinese
Github Skills (22)
bare-metal9
linux9
edge-computing9
operating-system9
kernel9
embedded8
freertos8
cortex-a8
php7
rtos7
hypervisor6
chinese-simplified6
yii6
php-framework5
smp3
Programming languages (4)
Github contributions (5)
pangzicheng/Haiway
May 2020 - May 2020
A draft version for haiwei rtos
Contributions:1 push in 1 day
rtos
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