Harrison Hao
DEVOPS Architect at CETC (Tianjin) Cyber Security Co., Ltd. 中电科（天津）网络信息安全有限公司
Nankai District, Tianjin, China
Summary
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Rockstar🎓
Top SchoolHarrison Hao is a DEVOPS Architect with over 15 years working in Linux environments and eight years focused on SRE and production operations, currently leading DevOps at CETC (Tianjin) Cyber Security. He designs and operates CI/CD platforms (Jenkins, Nexus, SonarQube) and release pipelines across diverse stacks—mobile, frontend, Java—and has modernized legacy products via Docker and Kubernetes for large enterprise and government customers. Harrison has architected high‑availability SaaS systems achieving >99.96% SLOs at 2000 QPS and built encrypted enterprise integrations with sub-10-minute disaster recovery failover. He brings cloud migration experience across Alibaba, Tencent and Huawei clouds as well as on‑prem ARM64 deployments for domestic OSes like UOS and KylinOS. Comfortable working in English with international partners, he pairs deep release-management discipline with hands-on container orchestration and performance-minded operational practices. An early graphics GPU compiler contributor by background, he retains low-level systems insight that informs robust infrastructure design.
6 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tianjin Normal University
English, mandrian
Github Skills (49)
sparse10
vulkan10
pytorch10
code-generator10
modular10
expressions10
llvm10
onnx10
taco10
toolchain10
cuda10
compiler10
clang10
machine-learning9
tensorflow9
Programming languages (6)
Github contributions (5)
harrisonGPU/llvm-project
Mar 2024 - Apr 2025
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
Contributions:150 pushes, 40 branches in 1 year
harrisonGPU/iree
Nov 2023 - Nov 2024
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Contributions:22 pushes, 6 branches in 11 months
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