Matthew Khoriaty

Evanston, Illinois, United States
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Summary

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Rockstar
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Top School
Matthew Khoriaty is a research-focused software engineer and Northwestern computer science student with five years of experience building production web apps and conducting ML safety research. He has shipped internal Amazon services using TypeScript/React and AWS CDK, and authored extensive design documentation and security controls for data-intensive workflows. As a research fellow at ERA Cambridge, he studies out-of-distribution generalization for model steering alongside academic collaborators, and his NAACL-submitted work advances selective unlearning via a Sparse Autoencoder lens. He founded Northwestern’s AI Safety and Governance club, securing a six-figure-equivalent grant from Open Philanthropy to grow education and research engagement across disciplines. Comfortable switching between product engineering and empirical research, he also builds tools for economists and seismology projects, demonstrating a knack for turning domain problems into deployable ML systems.
code5 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Northwestern University
bookHigh School Diploma, High School Diploma at Pine Crest School
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Github Skills (42)

language-model10
reinforcement-learning10
evaluation-framework10
genetic-algorithm9
python9
discovery9
transformer9
autoencoder8
evolutionary-computation8
evolutionary-algorithms8
benchmark8
machine-learning7
gpu7
deep-learning7
react7

Programming languages (7)

TypeScriptRScalaJavaScriptJupyter NotebookRubyPython

Github contributions (5)

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AMindToThink/trl-SAC

Dec 2024 - Jul 2026

Implement the popular Soft Actor-Critic algorithm as a trainer for RLHF.
Contributions:34 pushes, 11 branches in 1 year 6 months
Contributions:26 pushes in 2 months
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