Ziyi Luo is a software engineer with a decade of experience building high-throughput data and build infrastructure for large-scale systems, currently developing PB-scale multimodal data pipelines at Meta’s SuperIntelligence Lab in Seattle. Previously he matured Meta’s stream processing platform to handle multi-TB/s throughput with smarter autoscaling and spent several years on Amazon’s Corretto team automating complex OpenJDK builds and packaging across platforms. He combines deep practical expertise in build/release engineering, stream processing, and production data preparation, and contributes to open-source Java tooling and distribution work. Comfortable across low-level build systems and distributed realtime systems, he brings a pragmatic, reliability-first approach to making large engineering systems reproducible and scalable.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Communication Engineering, Bachelor’s Degree Communication Engineering at Sun Yat-sen University
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Columbia University
Amazon Corretto 8 is a no-cost, multi-platform, production-ready distribution of OpenJDK 8
Role in this project:
Back-end Developer
Contributions:12 releases, 2 reviews, 66 commits in 2 years 2 months
Contributions summary:Ziyi primarily contributed to the Amazon Corretto 8 project by modifying build configurations and adjusting system properties related to vendor information. Their commits included adding options for setting the Corretto revision and vendor-related properties, as well as reverting these changes. The user also addressed compilation errors and made platform-specific adjustments for building and packaging the Java runtime, demonstrating proficiency in build system management and code adaptation.
Amazon Corretto 11 is a no-cost, multi-platform, production-ready distribution of OpenJDK 11
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:5 releases, 2 reviews, 49 commits in 1 year 11 months
Contributions summary:Ziyi primarily focused on automating the build and packaging process for Amazon Corretto 11 on macOS. Their contributions included implementing Gradle logic for creating .tar.gz and .pkg installers. They also updated the Gradle wrapper and Nebula plugin, and made minor fixes to the installer introduction message and test files, which demonstrates a focus on build infrastructure and release management.
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Ziyi Luo - Software Engineer - Meta SuperIntelligence Lab