Wanning Jiang is a Member of Technical Staff based in the San Francisco Bay Area with a decade of experience building large-scale, reliable infrastructure for computation and data systems. After seven years at Meta working on Deltoid—Meta’s A/B test result computation system—Wanning joined OpenAI to apply that expertise to high-impact AI products like ChatGPT. Skilled in backend systems and distributed computation, Wanning has also contributed to the widely used RocksDB project, improving backup robustness and test environment file handling. Holding an MS in Computer Science from Duke and a BS from Shanghai Jiao Tong University, Wanning blends rigorous academic training with production-hardened engineering focused on observability, recoverability, and low-latency result serving. An engineer who prefers actionable fixes over email contact, they favor code-level solutions to complex reliability challenges.
10 years of coding experience
7 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Duke University
Bachelor's Degree Information Engineering, Bachelor's Degree Information Engineering at Shanghai Jiao Tong University
A library that provides an embeddable, persistent key-value store for fast storage.
Role in this project:
Back-end Developer
Contributions:12 commits, 12 pushes, 4 comments in 2 months
Contributions summary:Wanning primarily focused on enhancing the RocksDB database library. Their contributions involved implementing and testing backup options, including backing up the options file to a private directory. They also added tests to the environment, and improved the file handling for the test environment. Additionally, the user addressed issues related to file deletion and renaming during backups, contributing to the robustness of the backup functionality.
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Wanning Jiang - Member Of Technical Staff at OpenAI