Guoyu Wu

Software Developer at Thas Saengdee Industry Co.,ltd

Bangkok, Thailand
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Summary

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Rockstar
Guoyu Wu is a software developer based in Bangkok with six years of hands-on experience building backend systems and machine learning inference tooling. At Thas Saengdee Industry he focuses on pragmatic, production-ready solutions and has contributed to cross-platform ML runtimes, improving Android build processes and enabling support for quantized models. His open-source work on the high-profile ONNX Runtime project includes adding operator support and adapting execution providers (NNAPI, CoreML), showing a strong practical grasp of ML deployment constraints. He combines systems-level build expertise with ML engineering sensibilities, often solving platform-specific challenges like removing OpenMP for mobile targets. Colleagues describe him as detail-oriented and effective at translating complex integration work into reliable build artifacts. Guoyu’s background signals a developer comfortable at the intersection of backend engineering and on-device ML optimization.
code6 years of coding experience
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Github Skills (12)

c-language10
cprogramming-language10
onnxruntime10
coreml10
build-automation9
android-build9
machine-learning9
python7
buildr7
build-engine7
build-tools7
deep-learning7

Programming languages (6)

C#PowerShellC++CMakePythonKotlin

Github contributions (5)

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microsoft/onnxruntime

Apr 2020 - Mar 2022

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
userBack-end Developer & ML Engineer
Contributions:1 release, 844 reviews, 534 commits in 1 year 11 months
Contributions summary:Guoyu's contributions centered on enhancing the build process and adding support for machine learning model inference within the ONNX Runtime environment. Their work includes modifying the build process, particularly for Android builds, to exclude OpenMP and support core libraries. They also added or modified the build configurations for various components, including support for new operators like "Pow", and adding support for quantized models via the NNAPI and CoreML execution providers.
runtimetrainingtensorflowai-frameworkaccelerator
Contributions:1 release, 6 commits, 2 PRs in 5 months
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