Clayton Thorrez
Member Of The Technical Staff at Arena
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolClayton Thorrez is a data scientist and applied ML researcher with nine years of experience building applied NLP and LLM tooling at Microsoft, Apple, and startups; he now works as a Member of the Technical Staff focused on leaderboard and ranking systems at Arena. He specializes in paired comparison and rating-system methods for preference modeling, model evaluation, and post-training calibration, and brings that expertise to both production ML products and niche analyses of esports competitions. Clayton’s work spans evaluation pipelines for LLMs and applied ML in collaboration features like Outlook and Teams, and he has published practical datasets and demos such as EsportsBench and the Riix project. Comfortable moving between research and engineering, he blends statistical rigor with production mindset—often using competitive-sports data as a creative testbed for rating algorithms.
10 years of coding experience
8 years of employment as a software developer
Hillsdale AcademyBachelor of Science in Engineering (BSE) Computer Science Data Science, Bachelor of Science in Engineering (BSE) Computer Science Data Science at University of Michigan College of EngineeringMaster's of Science Computer Science, Master's of Science Computer Science at University of Massachusetts Amherst
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (43)
simulation9
large-language-models9
openai-gym9
chatbot9
algorithms8
reinforcement-learning7
rating-system7
linter6
python6
elo6
static-analysis6
rust5
html5
openai5
gpu5
Programming languages (4)
Github contributions (5)
cthorrez/cthorrez.github.io
Apr 2018 - Mar 2026
Contributions:154 pushes, 7 branches in 7 years 11 months
cthorrez/riix
Jan 2024 - Feb 2025
Open source implementations of rating systems
Contributions:16 releases, 128 pushes, 37 tags in 1 year
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