Jiacheng Liu is a Staff Software Engineer with a decade of experience building and scaling distributed storage and data orchestration systems, currently leading core Alluxio 3.x features for AI workloads from Shanghai. He drives major initiatives like unified namespace and cache quota, authors technical leadership content including the Alluxio book, and contributes as a core maintainer to the high-profile Alluxio open source project. His work spans backend systems, distributed cache consistency algorithms, and container integrations for Docker and Kubernetes, with practical improvements to logging, metrics, and maintainability in the Alluxio codebase. Earlier roles in data engineering and ETL migrations (Airflow, Docker, Kubernetes) give him a strong operational perspective on production data pipelines. Collected academic training from Columbia and City University of Hong Kong underpins his systematic approach to complex distributed system design.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science, 3.676/4.0, Master’s Degree, Computer Science, 3.676/4.0 at Columbia University in the City of New York
Bachelor’s Degree, Computer Science, 3.87/4.30, Bachelor’s Degree, Computer Science, 3.87/4.30 at City University of Hong Kong
Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
Back-end Developer
Contributions:1979 reviews, 292 commits, 438 PRs in 3 years 7 months
Contributions summary:Jiacheng primarily contributed to the Alluxio back-end codebase, making improvements to the core functionality. Their work involved refactoring code for readability and maintainability, such as replacing multi-if statements with switches. They addressed a bug by modifying the metrics UI, fixing the handling of slashes in metric names. They also added improvements to logging, by adding new log messages and improving the existing ones.
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