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.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Northwestern University
High School Diploma, High School Diploma at Pine Crest School
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