Xiaowei Wang
Senior Deep Learning Performance Architect at NVIDIA
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaowei Wang is a Senior Deep Learning Performance Architect with a decade of experience optimizing ML workloads across industry and academia. Currently at NVIDIA, he brings deep expertise in GPU systems and performance engineering from prior roles at Qualcomm and large-scale cluster management at Twitter. His PhD work at the University of Michigan focused on novel processing-in-memory architectures and FPGA-based accelerators for CNNs and RNNs, giving him a rare blend of hardware-aware model optimization and software engineering. He also contributes to open-source ML/assistant tooling—having integrated and debugged image and speech service components in the Lucida intelligent assistant—demonstrating strength in back-end MLOps and system integration. Based in Ann Arbor, Xiaowei combines rigorous research foundations with production-grade delivery of high-performance deep learning systems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of MichiganBachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Tsinghua UniversityTechnical University of Denmark
Github Skills (11)
caffe10
thrift10
image-processing10
python9
computer-vision9
c-language8
machine-learning8
cprogramming-language8
docker6
dockers6
tensorflow5
Programming languages (2)
Github contributions (5)
claritylab/lucida
Jun 2016 - Jun 2016
Speech and Vision Based Intelligent Personal Assistant
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:24 commits, 1 PR, 10 pushes in 10 days
Contributions summary:Xiaowei primarily worked on integrating a new tonic-suite with the existing Lucida interface, likely for the "Speech and Vision Based Intelligent Personal Assistant" project. They modified several files, including the LucidaService header, and test and script files for image services. The contributions included fixing bugs related to image services and modifying FACE test scripts and image processing handlers.
speech
xiaoweiw/AIE
Oct 2016 - Oct 2016
Contributions:1 push, 1 branch in 1 day
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