Zhengxi Zhou is a Staff Infra Engineer based in Singapore with 11 years in cloud and infrastructure engineering and over 9 years focused on cloud computing, Kubernetes, and application delivery. He builds AI infrastructure for browser-based agents and sandbox environments at TikTok, blending systems engineering with practical security-conscious sandboxing. Previously he shaped cloud-native deployment at Alibaba Cloud working on OAM/KubeVela and Crossplane, and contributed to notable open-source projects like KubeVela (cloud resource provisioning via Terraform) and Alibaba's derrick (fast containerization). Skilled in Golang and full-stack tooling, he has a history of shipping end-to-end solutions from OpenStack orchestration to CI/CD and container image pipelines. A top-ranked master's graduate, he combines hands-on implementation with documentation and test-driven improvements, often tackling integration points that unlock multi-cloud resource management.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beihang University
Master's degree, Computer Science, 89.875 (top 1 of 300), Master's degree, Computer Science, 89.875 (top 1 of 300) at North China University of Technology
Contributions:1 release, 912 reviews, 23 commits in 1 year 2 months
Contributions summary:Zhengxi contributed to enhancing the Vela platform by implementing and supporting new features related to cloud resource provisioning, notably leveraging Terraform. They added code for handling and managing cloud resource secrets, with a focus on integrating and improving the platform's capabilities for managing diverse cloud resources. The user also implemented documentation and tests, and updated the code base to support changes in underlying libraries.
🐳A tool to help you containerize application in seconds
Role in this project:
Full-stack Developer
Contributions:1 release, 1 review, 12 commits in 24 days
Contributions summary:Zhengxi primarily worked on implementing features related to containerizing applications using the derrick tool. They implemented the `init` and `up` commands, which involved detecting code languages, generating templates, building Docker images, and deploying applications to Kubernetes. The user's contributions span multiple languages, including Golang and NodeJS, demonstrating the tool's ability to support various platforms. Additionally, the user refactored the codebase by moving the project to the Alibaba organization and added Maven support.
containerscontainercontainerizedocker
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