Guoliang Hua
SDE II at Microsoft
China
Summary
🤩
Rockstar🎓
Top SchoolGuoliang Hua is an experienced SDE II at Microsoft with eight years of professional software engineering experience and a strong academic foundation from Beihang University. He focuses on backend development and test automation, notably contributing bug fixes and test infrastructure improvements to the widely used onnx/tensorflow-onnx converter to improve model conversion accuracy and reliability. Based in China, he brings practical expertise in handling shape inference, operation-specific issues, and domain handling in ML model tooling. Colleagues rely on him to stabilize complex conversion pipelines and harden testing frameworks, a behind-the-scenes capability that directly improves downstream ML deployments.
8 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Beihang UniversityBachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Beijing Information Technology Institute
Github Skills (16)
keras10
debug10
deeplearning-ai10
exports10
deep-learning10
inference10
tensorflow10
onnx10
shapes10
python10
convert10
exporter10
converting10
test-automation10
machine-learning9
Programming languages (10)
Github contributions (5)
onnx/tensorflow-onnx
Nov 2018 - Jul 2019
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:262 commits, 173 PRs, 115 pushes in 8 months
Contributions summary:Guoliang primarily focused on bug fixes and enhancements to the TensorFlow to ONNX converter project. They addressed issues related to shape inference, the handling of specific operations, and the use of the MS domain. The user also worked on improving test infrastructure, including modifying test configurations and fixing test cases related to backends. The user's contributions directly impact the functionality and accuracy of the conversion process, as well as the reliability of the testing framework.
tensorflowjsexportdeep-learningonnxkeras-tensorflow
nbcsm/tensorflow-onnx
Nov 2018 - May 2019
Convert TensorFlow models to ONNX
Contributions:15 PRs, 388 pushes, 137 branches in 6 months
deep-learningonnxtensorflowtensorflow-models
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