Jenny Li
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJenny Li is a DevOps and cloud infrastructure engineer with about four years of focused experience optimizing CI/CD, testing, and deployment pipelines for AI-driven and cloud-native products. She has supported production services at companies from Autodesk to Oqton and helped scale Zilliz’s Milvus vector database by improving Jenkins pipelines, E2E testing scripts, and Helm charts. Comfortable across AWS, Docker, serverless patterns, and automation tooling, she blends hands-on scripting with platform-level reliability work. Her contributions to the high-profile milvus-io/milvus repo show an emphasis on making complex distributed testing repeatable and faster. Trained with a master’s in software engineering from Zhejiang University, she brings both rigorous academic grounding and practical cross-stack experience. An understated strength is her knack for translating legacy CI/CD practices into modern pipelines that reduce test flakiness and speed delivery.
4 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Software Engineering, Bachelor of Engineering (B.E.), Software Engineering at Sichuan UniversityMaster's degree, Software Engineering, Master's degree, Software Engineering at 浙江大学
Chinese, English
Github Skills (21)
kubernetes10
cd10
bash10
cicd10
script10
ci-cd-pipeline10
kubernetes-pods10
pipeline10
jenkins10
jenkins-ci10
devops10
build-pipelines10
e2e-test9
e2e-testing9
helm9
Programming languages (11)
Github contributions (5)
milvus-io/milvus
Nov 2021 - Nov 2022
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:
DevOps Engineer
DevOps EngineerContributions:27 reviews, 332 commits, 497 PRs in 1 year
Contributions summary:Jenny primarily focused on improving the CI/CD pipeline and related scripting within the Milvus repository. Their commits modified Jenkins pipeline configurations, updated scripts related to E2E testing, added comments to existing scripts for better readability, and updated helm charts. The changes addressed test timeout issues, added code for deploying and testing on different clusters, and streamlined the overall testing process.
approximate-nearest-neighbor-searchfaisshnswsimilarity-searchvector
jingli-jenny/workflow-test
Nov 2021 - Jan 2022
test for github action workflow
Contributions:1 review, 25 PRs, 142 pushes in 1 month
workflowaction-workflowgithub-action-workflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.