Jianying Lang
Principal Solutions Architect -- Accelerated Computing (AI, HPC)
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolJianying 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.
8 years of coding experience
19 years of employment as a software developer
BS Physics, BS Physics at University of Science and Technology of ChinaDoctor of Philosophy (PhD) Physics (Computational), Doctor of Philosophy (PhD) Physics (Computational) at University of Colorado Boulder
Chinese, English
Github Skills (32)
pytorch10
python10
mxnet10
onnx10
keras10
deep-learning10
tensorflow10
paddlepaddle10
baidu10
spark9
openvino9
machine-learning9
mpi9
deep-neural-networks9
neural-network9
Programming languages (3)
Github contributions (5)
NervanaSystems/ngraph-tf
May 2018 - Apr 2019
Bridge to connect nGraph with TensorFlow
Contributions:149 commits, 23 PRs, 99 pushes in 11 months
tensorflow
NervanaSystems/ngraph
Aug 2018 - Jul 2019
nGraph has moved to OpenVINO
Contributions:72 commits, 2 PRs, 93 pushes in 10 months
openvinongraphtensorflowmxnetdeep-learning
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