Enwei Jiao is a seasoned software engineer with 12 years of experience building large-scale data and AI infrastructure, spanning backend, DevOps and distributed processing. Based in Shanghai, he is a maintainer of the well-known open-source vector database Milvus, where he focuses on backend performance, operability and cross-platform build robustness (e.g., configurable segment lifetimes, dependency reorganization and Windows ldflags fixes). At Luma AI he designs and migrates multi-modal data platforms using Ray, Lance, Daft and Spark, and previously led the design of a multi-modal data lake at MiniMax serving hundreds of petabytes and thousands of GPUs. With a master’s in information security from Shanghai Jiao Tong University, he combines security-minded engineering with deep expertise in Java, OLAP and big-data systems to deliver reliable, production-grade platforms.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:425 reviews, 62 commits, 227 PRs in 8 months
Contributions summary:Enwei's contributions primarily revolved around enhancing the back-end functionality and infrastructure of the Milvus vector database. Their work included making specific parameters configurable, such as segment lifetimes. They also made changes to the codebase in various areas like moving the arrow library dependency, upgrading ruleguard, fixing errors, and refining the compilation configuration, indicating a focus on performance and code quality. The user's commits also suggest involvement in improving the system's robustness, like handling rebalance tasks and fixing the windows ldflags.
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Enwei Jiao - Software Engineer at The Milvus Project