Andy Zhou
Software CTO (CSTO) at ESWIN INC
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndy Zhou is a seasoned software leader and CTO based in Mountain View with over two decades of architectural and engineering experience and seven years in senior executive roles. He has led product and platform teams across networking and cloud-native companies—including VMware, Cavium, Juniper, and Rafay—bridging low-level systems design with scalable cloud infrastructure. At ESWIN he drives technology strategy and execution, bringing a hands-on approach informed by prior director and staff engineering roles. Andy contributes to notable open-source cloud tooling like k3d, improving cluster management, port handling and auto-restart features that show his focus on developer usability and resilient DevOps workflows. He holds an MS in Computer Science from Carnegie Mellon and a BS from Fudan, combining rigorous academic training with practical systems delivery. Colleagues describe him as an operator who moves fluidly between deep technical refactors and product-facing reliability improvements.
7 years of coding experience
23 years of employment as a software developer
BS Computer Science, BS Computer Science at Fudan UniversityMS Computer Science, MS Computer Science at Carnegie Mellon University
Github Skills (12)
kubernetes10
cluster-api10
docker10
go10
clustering10
dockers10
kubernetes-pods10
cli10
cluster-manager10
error-handling9
automations8
automation8
Programming languages (1)
Github contributions (5)
k3d-io/k3d
May 2019 - Nov 2019
Little helper to run CNCF's k3s in Docker
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:73 commits, 55 PRs, 23 pushes in 6 months
Contributions summary:Andy primarily contributed to the back-end of the `k3d` project, implementing features related to cluster management and port publishing. They improved error handling in the CLI and added functionality for handling and managing exposed ports for both server and worker nodes. Their work included refactoring APIs and adding support for cluster auto-restart, demonstrating a focus on improving the functionality and usability of the `k3d` tool.
k3ddockerrancherk8skubernetes
andyz-dev/k3d
May 2019 - Sep 2019
Little helper to run Rancher Lab's k3s in Docker
Contributions:24 pushes, 59 branches in 4 months
gitpoddockerrancherk8skubernetes
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