Ziyang Hu
PhD Candidate
Summary
🤩
RockstarZiyang Hu is a software engineer and PhD-trained physicist with 11 years of experience bridging theoretical research and practical systems engineering. He focuses on integrating database systems with AI, contributing deep engine-level work such as refactoring, query/index performance improvements, and backup/restore mechanics for the transactional, relational-graph-vector Cozo database. Comfortable working at the storage and query layer, he implemented Datalog-backed operations and syntax changes that strengthen Cozo as an “hippocampus for AI.” His background from the University of Cambridge informs a methodical, research-driven approach to building reliable, high-performance data infrastructure. Based in Denmark, he brings uncommon domain crossover—physics rigor applied to database internals and AI-centric architectures.
11 years of coding experience
Github Skills (6)
databases10
database-design10
database10
data-structure9
data-structures9
sql8
Programming languages (9)
Github contributions (5)
cozodb/cozo
Apr 2022 - Mar 2023
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
Role in this project:
Database Engineer
Database EngineerContributions:20 releases, 1515 commits, 37 PRs in 11 months
Contributions summary:Ziyang primarily focused on refactoring and improving the database engine. Their work involved modifying the syntax, and implementing database operations such as creating and managing relations. The user was also responsible for developing mechanisms for handling backup and restoring the database. They also worked on performance enhancements related to queries and indexing within the storage engine.
approximate-nearest-neighbor-searchembedded-databaseclient-serverperformantgraph-algorithms
cozodb/cozo-lib-java
Nov 2022 - Feb 2023
Contributions:21 commits, 35 pushes, 2 branches in 3 months
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