Fuheng Zhao is a postdoctoral researcher and software engineer with five years of experience specializing in big data, distributed systems, databases, and privacy, currently based in Goleta, California. He holds a PhD in Computer Science from UC Santa Barbara and has interned and contributed at Snowflake and Microsoft, focusing on storage engine performance and AI integration for large-scale multimodal data processing. As a back-end developer and performance engineer, he made notable open-source contributions to FoundationDB—implementing metrics, specialized histograms, and improved observability for Redwood’s storage engine. Comfortable in C, C++, and Python, he bridges rigorous research with production-grade engineering to optimize system performance and instrumentation. Outside of work he balances technical intensity with sports and culinary exploration, reflecting a practical, team-oriented approach to problem solving.
4 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Santa Barbara
FoundationDB - the open source, distributed, transactional key-value store
Role in this project:
Back-end Developer & Performance Engineer
Contributions:4 reviews, 244 commits, 16 PRs in 1 year 3 months
Contributions summary:Fuheng contributed to the FoundationDB codebase by implementing metrics collection and analysis features related to Redwood, the open-source key-value store. Their work involved introducing new metrics, creating specialized histograms, and enhancing the collection of data from small ranges within the system. The user's contributions focused on improving the observability and performance of the storage engine. They also made improvements to the existing functions.
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Fuheng Zhao - Postdoctoral Researcher at Snowflake