Summary
Billy Porter is a research engineer in New York with seven years of experience building and shipping large-scale ML and systems software, currently focused on improving Gemini’s coding capabilities at Google DeepMind and contributing to Gemini Code at Google Labs. His work bridges production engineering and cutting-edge language models for code, with a track record of shipping privacy-safe, high-performance systems across Ads serving and event pipelines. Academically grounded in computer science from Notre Dame, he has published first-author papers in visualization and led applied NLP projects using LLMs for weakly supervised classification and document comparison. Early-career wins include solving a longstanding statistical problem in CyTOF data at MGH and delivering award-winning intern projects at Google, demonstrating a knack for turning research into practical tools. Colleagues would note his unusual blend of deep engineering rigor, applied ML research, and a history of presenting technical work to large, nontechnical audiences.
7 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at University of Notre Dame