Zhuzhen Wang
Engineer Software at 浙江大华技术股份有限公司
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolZhuzhen Wang is a seasoned software engineer with 9 years of experience specializing in Kubernetes and cloud-native ecosystems, currently developing and maintaining related systems at Zhejiang Dahua Technology. He brings deep backend and DevOps expertise demonstrated by contributions to the enterprise-grade Erda platform—implementing cross-cloud storage detection and fixing orchestration bugs for better volume handling and batch operations. Previously at Huawei he drove performance tuning for big-data workloads and optimized Linux filesystem and Disk I/O, combining systems-level rigor with production-focused engineering. Known for a responsible, problem-solving approach, he pairs strong academic training in control theory and electronics with practical experience across distributed systems and cloud storage integration.
9 years of coding experience
学士, 电子信息科学与技术, 优秀, 学士, 电子信息科学与技术, 优秀 at 成都理工大学自动化双控硕士, 控制理论与控制工程, 优秀, 自动化双控硕士, 控制理论与控制工程, 优秀 at Hangzhou Dianzi University
Chinese, Chinese
Github Skills (15)
golang10
data-storage10
file-storage10
storage10
kubernetes10
go10
devops10
kubernetes-pods10
container9
cloud-infrastructure9
microservices8
docker8
microservices-application8
cicd8
dockers8
Programming languages (6)
Github contributions (5)
erda-project/erda
Dec 2021 - Jan 2023
An enterprise-grade Cloud-Native application platform for Kubernetes.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:94 reviews, 43 commits, 86 PRs in 1 year
Contributions summary:Zhuzhen's commits primarily focused on enhancing the storage functionalities of the "erda" platform, particularly in detecting and managing storage class names for various cloud providers (AliCloud, TencentCloud, and HuaweiCloud) and local storage. This involved modifying core data structures (`apistructs/service.go`) and implementing a new package for storage detection (`pkg/k8s/storage/detect_sc.go`). The user also addressed bug fixes related to volume access and the support for batch operations for deployments and other core service group actions in the orchestration module of the platform.
application-platformgomicroserviceenterprise-gradedocker
wangzhuzhen/erda
Aug 2021 - Feb 2024
An enterprise-grade application building, deploying, monitoring platform (An iPaaS).
Contributions:433 pushes, 85 branches in 2 years 6 months
deployingipaasitilcloud-foundryenterprise-grade
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