Shaoguang Mao

Technical Staff at Moonshot AI

Haidian District, Beijing, China
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Summary

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Rockstar
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Top School
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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing Normal University
bookMaster's degree, Computer Science, Master's degree, Computer Science at Tsinghua University
languagesChinese, English
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Github Skills (3)

parallel3
machine-learning3
deep-learning2

Programming languages (2)

C++Python

Github contributions (5)

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dawnmsg/dawnmsg.github.io

Dec 2018 - Jan 2025

Contributions:35 pushes, 1 branch in 6 years 1 month
Repo for "Smart Word Suggestions" (SWS) task and benchmark
Contributions:1 review, 1 PR, 3 pushes in 6 months
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Shaoguang Mao - Technical Staff at Moonshot AI