Matt Shu is a machine learning engineer with eight years of experience building educational technology and human-centered ML systems, currently at Brain Co. in San Francisco. He blends rigorous academic research at Yale on how LLM-generated summaries affect learning with hands-on product work—architecting LLM-supervised flashcard pipelines that produced 5,000+ study items for an NSF-funded classroom trial. His background spans production ML at Uber (recommendations, search, and image-text fusion) and end-to-end product development for learning apps, including founding iOS projects with thousands of users. Matt’s work sits at the intersection of sociology of education, HCI, and applied ML, informed by classroom deployments and user studies. He’s published EMNLP papers, coordinated dataset updates (QANTA), and has a track record of translating research insights into scalable, impact-driven features.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Statistics & Data Science, Master's degree, Statistics & Data Science at Yale University
High School Diploma, Mathematics and Computer Science, 9-12, High School Diploma, Mathematics and Computer Science, 9-12 at Montgomery Blair High School
Flashcard Adder provides an alternative interface for adding flashcards into supported flashcard software. The app currently supports use with AnkiMobile.
Contributions:3 releases, 146 commits, 1 PR in 1 year 9 months
flashcardflashcardssupportedadderanki
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