Jianying Lang

Principal Solutions Architect -- Accelerated Computing (AI, HPC)

San Francisco Bay Area United States
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Summary

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Rockstar
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Top School
Jianying Lang is a Principal Solutions Architect at AWS specializing in accelerated computing for AI and HPC, with eight years in industry and a PhD in computational physics. She combines hands-on deep learning and HPC engineering with cloud infrastructure design, helping bridge large-scale scientific codes to modern GPU and AWS architectures. Prior roles at Intel and national labs include porting and optimizing particle-in-cell and fusion simulation codes across CPUs, GPUs, and heterogeneous supercomputers, often achieving multi‑fold performance gains. Based in the San Francisco Bay Area, she brings rare domain expertise that blends physics insight, low-level performance tuning, and cloud-scale deployment—making her adept at moving extreme-scale workloads from prototype to production.
code8 years of coding experience
job19 years of employment as a software developer
bookBS Physics, BS Physics at University of Science and Technology of China
bookDoctor of Philosophy (PhD) Physics (Computational), Doctor of Philosophy (PhD) Physics (Computational) at University of Colorado Boulder
languagesChinese, English
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Github Skills (39)

python10
machine-learning10
deep-learning10
baidu10
data-science9
keras-tensorflow9
inference-engine9
tensorflow9
neural-network9
keras9
c-library9
cpp9
ray8
deep-neural-networks8
gpu8

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

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NervanaSystems/ngraph-tf

May 2018 - Apr 2019

Bridge to connect nGraph with TensorFlow
Contributions:149 commits, 23 PRs, 99 pushes in 11 months
bridgetensorflowngraph
NervanaSystems/ngraph

Aug 2018 - Jul 2019

nGraph - open source C++ library, compiler and runtime for Deep Learning
Contributions:72 commits, 2 PRs, 93 pushes in 10 months
inference-enginecppc-librarydeep-learningtvm
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Jianying Lang - Principal Solutions Architect -- Accelerated Computing (AI, HPC)