Hai Jin
Co-Founder at InfiniFlow
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top School
Top expert inNatural Language Processing and Machine Learning Technologies
Hai Jin is a Shanghai-based co-founder and engineering leader with 8 years of professional experience building cloud-native data systems. As Co-Founder of InfiniFlow and former VP of Engineering at MatrixOrigin and Director at Zilliz, he blends product leadership with hands-on backend engineering. He is credited as a creator on notable open-source projects including Milvus (a high-performance vector database) and Infinity, and has made core contributions to MatrixOne, a hyperconverged cloud-edge native database. Technically versatile, he works across C++, Python and Rust stacks—building low-level database internals, Python SDK examples, and full-stack RAG systems like RAGFlow. Trained in electrical and electronics engineering at Shanghai Jiao Tong University, he brings a systems-oriented, performance-first approach to distributed data and retrieval engineering.
8 years of coding experience
16 years of employment as a software developer
Bachelor of Science - BS, Electrical, Electronics and Communications Engineering, Bachelor of Science - BS, Electrical, Electronics and Communications Engineering at Xidian UniversityMaster of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Shanghai Jiao Tong University
Github Skills (37)
api-doc10
vectors10
c-language10
python10
databases10
vector-database10
milvus10
refactorings10
data-structure10
llm10
vector10
retrieval-augmented-generation10
go10
api10
sdk10
Programming languages (13)
Github contributions (5)
milvus-io/milvus
Mar 2019 - Nov 2020
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 releases, 56 reviews, 1699 commits in 1 year 8 months
Contributions summary:Hai's commits focus on the implementation of backend features, including adding new APIs, and enhancing existing functionalities. These commits involve modifications in `cpp` files, suggesting a strong emphasis on server-side logic and interactions within the Milvus vector database. The code changes touch upon index creation, get vector ID by ids, and other essential functions.
approximate-nearest-neighbor-searchfaisshnswsimilarity-searchvector
infiniflow/ragflow
Apr 2024 - Mar 2025
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:10 releases, 273 reviews, 284 PRs in 1 year
Contributions summary:Hai primarily contributed to the development of RAGFlow, demonstrating proficiency in both backend and frontend development. Their work includes setting up an Actix web template, updating language settings in the API and frontend, and refactoring various backend functionalities. The user also focused on documentation updates, adding a license, and refactoring the API.
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