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Thomas Schweizer's Website
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Thomas Schweizer
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2026-03-09 16:21:54
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Thomas Schweizer Thomas Schweizer (he/him) GitHub LinkedIn I am passionate about leveraging Machine Learning and Data Science to build reliable, sustainable, and ethical software that prioritizes the users' needs. At the University of Washington, I research ways to empower developers to write better and safer code by leveraging source code analysis and machine learning techniques on the code's version history. HIGHLIGHTS JUL 2024 Joined Meta as a Software Engineer, Machine Learning 🎉 JAN 2024 Deployed automated code reviewer powered by LLM ( code-review-assistant.app ). AUG 2023 Submitted our paper titled "Evaluating Untangling Tools" to ICSE 2024. JUL 2023 Won the first place at the ISSTA ACM Student Research Competition for my research on evaluating commit untangling tools. MAR 2023 Won the Fixie.AI hackathon by building an AI agent using LLMs that draft email replies direclty in your Gma...
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