Summary
Eugene Liu is a senior software engineer based in the San Francisco Bay Area with a decade of hands-on experience building and optimizing distributed data systems. He specializes in big-data platforms and databases—working on Spark, Delta Lake, Parquet, MapRDB internals, and all-flash distributed filesystems—to make large-scale analytics reliable and performant in SaaS and cloud-native environments. At Workday he focuses on Prism Analytics, while prior roles at HPE and MapR involved Kubernetes operators, API gateways, and deep database query and index work. He blends research-rooted expertise from his UMass Amherst background with pragmatic production engineering, frequently tackling performance profiling and policy enforcement across storage and data paths. Notably, his career threads both systems-level storage engineering and cloud-native orchestration, giving him a rare cross-cutting view of data stack bottlenecks.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at University of Massachusetts Amherst
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hohai University