Zelin Hao is a software development engineer with 4 years of experience building scalable search and build infrastructure, currently working on AI infrastructure for HPC and GPU at Oracle in Seattle. Previously at AWS, he redesigned OpenSearch.org deployment and search workflows using serverless and CI/CD tooling, and built an incremental build automation that cut redundant builds by 50% and saved 20 developer hours per week. He contributed to the OpenSearch build systems repo, streamlining Docker, Jenkins, and RPM validation to improve distribution reliability. His background spans time-series forecasting for EV charging, mobile app performance tuning, and neuromorphic chip simulation, reflecting a strong blend of backend, automation, and data-driven modeling skills. Zelin combines hands-on open-source engineering with practical automation that reduces operational toil and accelerates releases.
5 years of coding experience
6 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of Southern California
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Wisconsin-Madison
π§° OpenSearch / OpenSearch-Dashboards Build Systems
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:10 releases, 1071 reviews, 126 commits in 1 year 5 months
Contributions summary:Zelin primarily focused on building and maintaining the build and distribution systems for the OpenSearch project. Their contributions include updating Dockerfiles, fixing issues related to build scripts, and reconstructing URL paths to avoid collisions. They also automated tasks by creating and modifying Jenkinsfiles, and enhanced the RPM validation workflow. Overall, their work streamlined the build, testing, and distribution processes.
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