Xiaojian Wu

Research Scientist Lead & Founding Member at Anuttacon

San Francisco Bay Area United States
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Summary

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Rockstar
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Top School
Xiaojian Wu is an AI researcher-engineer with 11 years of experience building large language models, multimodal systems, and agent architectures from academia to industry. Based in the San Francisco Bay Area, he has driven core LLM and RLHF work at Meta (contributing to Llama 3), led NLP and IR efforts at Microsoft AI for Bing, and now splits his time between OpenAI and co-founding Anuttacon where he heads LLM pretraining, post-training, and multimodal research. His background blends rigorous academic training (PhD in CS) and postdoctoral research in stochastic planning and optimization with hands-on production research on RAG, summarization, and sparse personalization. Xiaojian is comfortable spanning theory and engineering—designing algorithms, scaling pretraining, and integrating agents into applications—and he actively hires and grows research teams. Colleagues value his ability to translate complex research into products that scale, and his career shows a steady move from foundational research toward building deployed AI systems.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Wuhan University
bookPh.D Computer Science, Ph.D Computer Science at University of Massachusetts Amherst
bookMaster's degree Computer Science, Master's degree Computer Science at Mississippi State University
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Github Skills (14)

bottom10
mysql-server10
tokudb10
migration-tool10
percona10
mysql10
fetch10
schema-migrations10
database10
migration10
ignite9
mariadb9
database-access9
alibaba9

Programming languages (2)

C++Go

Github contributions (5)

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zhangxiaojian/dcmd

Dec 2015 - Jan 2018

Contributions:1 release, 12 pushes, 1 branch in 2 years 1 month
Contributions:29 pushes, 1 branch in 5 years 8 months
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Xiaojian Wu - Research Scientist Lead & Founding Member at Anuttacon