Shaoguang Mao is a Technical Staff engineer at Moonshot.AI with nine years of experience building research-grade software for advanced AI, having progressed through multiple research SDE roles at Microsoft Research Asia. He focuses on post-training techniques to enhance agentic capabilities of large language models and is a core contributor to the Kimi-Researcher project, reflecting a blend of open research and production engineering. Trained at Tsinghua University and Beijing Normal University, he brings strong academic grounding to applied AGI exploration in Beijing’s Haidian District. Colleagues describe him as a pragmatic, curiosity-driven developer—humble enough to call himself a "cute coding engineer" on GitHub but driving serious technical advances in LLM agent behavior.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing Normal University
Master's degree, Computer Science, Master's degree, Computer Science at Tsinghua University
Repo for "Smart Word Suggestions" (SWS) task and benchmark
Contributions:1 review, 1 PR, 3 pushes in 6 months
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