Lei Shao
Senior Machine Learning Engineer, AI Solutions at AMD
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLei Shao is a Senior Machine Learning Engineer with 8+ years of experience building and scaling large distributed deep learning systems, currently driving AI solutions at AMD after enabling efficient LLM inference and low-bit micro-scaling at Microsoft. With a PhD in Electrical Engineering and a strong R&D pedigree at Intel, Lei led record-setting distributed training efforts for scientific deep learning projects (including multi-node PyTorch and TensorFlow runs at supercomputing scale) and holds 20+ patents from earlier signal-processing work. He combines pragmatic engineering with attention to detail, turning months of training into minutes for HPC workloads and bringing cross-functional collaboration to production-grade ML. Energetic and self-directed, Lei thrives at the intersection of research and systems engineering, routinely translating novel algorithms into optimized, scalable implementations.
8 years of coding experience
10 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at University of Washington
Chinese, English
Github Skills (15)
probabilistic9
simulation8
probabilistic-models8
system-programming7
high-performance7
probabilistic-programming7
pytorch6
machine-learning6
python6
hpc5
benchmark1
cnn-model1
caffe1
deep-learning1
tensorflow1
Programming languages (2)
Github contributions (4)
leishao2017/pyprob
Aug 2018 - Sep 2018
A PyTorch-based library for probabilistic programming and inference compilation
Contributions:7 pushes, 1 branch in 1 month
pytorchcompilationdeep-learninginferencemachine-learning
leishao2017/hep_cnn_benchmark
Nov 2017 - Nov 2017
Contributions:2 pushes, 1 branch in 1 day
deep-learningbenchmarktensorflowheptensorflow-benchmark
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