Weixiao Huang
ML AI at Box
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWeixiao Huang is an ML/AI engineer with 11 years of experience building end-to-end machine learning products and cloud-native infrastructure from Sunnyvale. A Tsinghua and RPI-trained researcher with a PhD-level background in electrical, computer, and systems engineering, he blends deep technical rigor with product-focused delivery at Box. Previously he built cloud services around auth, productivity, workflow, and observability at Guidewire, and he contributes to open-source DevOps work such as improving Kubernetes apiserver-builder packaging and Bazel-based build automation. Comfortable spanning AI infra, cloud-native tooling, and release automation, he excels at turning research-grade ideas into reliable production systems. Notably, his attention to build and dependency hygiene (vendor.tar.gz, stamped versioning, robust untar processes) shows a practical obsession with reproducible, production-ready ML infra.
11 years of coding experience
Bachelor’s Degree Electronics and Information Systems Engineering, Bachelor’s Degree Electronics and Information Systems Engineering at Peking UniversityDoctor of Philosophy (Ph.D.) Electrical Computer and Systems Engineering, Doctor of Philosophy (Ph.D.) Electrical Computer and Systems Engineering at Rensselaer Polytechnic Institute
Github Skills (9)
automation10
automations10
go10
bazel10
cicd10
kubernetes-pods9
kubernetes9
dockers7
docker7
Programming languages (14)
Github contributions (5)
kubernetes-sigs/apiserver-builder-alpha
Dec 2019 - Dec 2019
apiserver-builder-alpha implements libraries and tools to quickly and easily build Kubernetes apiservers/controllers to support custom resource types based on APIServer Aggregation
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:21 commits, 13 PRs, 33 comments in 22 days
Contributions summary:Weixiao primarily focused on improving the build and packaging process of the apiserver-builder tool. They made changes to utilize Bazel for packaging, upgraded rules_go and Bazel support, and implemented the use of a vendor.tar.gz for dependency management. Additionally, they worked on adding stamp variables for versioning, and added a more robust untar process, demonstrating a focus on automation and improving the project's build and release pipelines.
kubernetes-apiserverapiserver-aggregationkubernetesserver-sdkk8s-sig-api-machinery
weixiao-huang/saepa_website
Oct 2016 - Feb 2020
Contributions:56 pushes, 3 branches in 3 years 4 months
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