Xiang Deng
Summary
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RockstarXiang Deng is a Co-Founder and CTO with a decade of experience in NLP and AI, focused on turning research-grade large language models into grounded, trustworthy agents and practical applications. He holds a PhD from The Ohio State University and has contributed pioneering work adapting language modeling to structured data (TURL) and studying generalist LM agents in real-world digital environments (DOM-LM, Mind2Web). His industry experience spans Google, Amazon, Microsoft, Scale AI, and now a startup where he’s building agents that learn in the wild and lock in reliable skills. Xiang blends deep research rigor with product-minded engineering—shipping developer assistance, LLM coding tools, and agent systems—while prioritizing accessibility and real-world grounding. Colleagues would note his uncommon combination of academic firsts and hands-on production experience across top research labs and industry teams.
10 years of coding experience
Github Skills (75)
testing10
representation-learning10
firefox10
chrome10
webkit9
javascript9
squad9
chromium9
test-automation9
e2e-testing9
python9
automation9
deep-learning9
web-testing9
machine-learning9
Programming languages (7)
Github contributions (5)
xiang-deng/papers
May 2022 - Jun 2023
Contributions:261 pushes, 1 branch, 1 comment in 1 year 1 month
sunlab-osu/TURL
Jan 2020 - Jun 2022
Code and data for "TURL: Table Understanding through Representation Learning"
Contributions:28 commits, 20 pushes, 1 branch in 2 years 5 months
representation-learning
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