Tongliang Liao
Senior Research SDE at Microsoft
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolTongliang Liao is a Senior Research SDE at Microsoft with a decade of experience building robust cloud and AI systems, currently embedded in Cloud+AI/Cognition. He blends research-grade rigor from internships at Microsoft Research Asia and an MS from UT Austin with production engineering expertise across Microsoft teams since 2018. Tongliang has contributed to high-impact open-source infrastructure such as Microsoft’s ONNX Runtime, improving build stability and dependency management for a widely used ML inference engine. His background includes systems-focused internships at VMware and teaching roles in performance and compilers, reflecting deep interest in performance, tooling, and reproducible builds. Based in Shanghai, he quietly bridges research and production—turning advanced ML systems into dependable, deployable software.
10 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at The University of Texas at AustinBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Chinese, English
Github Skills (8)
build-system10
c-language10
cmake10
eigen10
cprogramming-language10
onnx10
hardware-acceleration9
machine-learning9
Programming languages (15)
Github contributions (5)
microsoft/onnxruntime
Dec 2018 - Jan 2023
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
Back-end & Automation Engineer
Back-end & Automation EngineerContributions:15 reviews, 11 commits, 16 PRs in 4 years 1 month
Contributions summary:Tongliang primarily contributed to the maintenance and improvement of the ONNX Runtime's build process and dependencies. They upgraded library versions, specifically Eigen and MKLML, ensuring compatibility and incorporating formal build options. Additionally, they addressed build issues related to escaping and missing headers, demonstrating a focus on ensuring code compilation and project stability. The user also fixed a typo in the codebase.
runtimetrainingtensorflowai-frameworkaccelerator
xkszltl/Roaster
Mar 2017 - Jan 2023
Build open-source tools from scratch with Roaster!
Contributions:3 releases, 60 reviews, 2511 commits in 5 years 10 months
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