Matt Gleeson is a Machine Learning Engineer II with eight years of experience building production-grade AI systems at Microsoft, currently architecting the vector database that grounds Microsoft Copilot and Business Chat within the Semantic Fabric team. He combines applied research chops from a Distinction MSc in Machine Learning (UCL) and NSF-funded Bayesian/deep learning work with hands-on product delivery across Azure, Word, Viva, and Windows through Microsoft's MAIDAP program. Prior startup leadership at an MIT-backed AI political-data startup and early systems work—from hardware security research to full-stack internal tools—give him a rare blend of research rigor and operational pragmatism. Based in New York, he’s comfortable translating cutting-edge ML into scalable infrastructure that serves enterprise LLM offerings.
7 years of coding experience
4 years of employment as a software developer
The Bishop's School
Major in Computer Science, Major in Mathematics(Statistics), Major in Computer Science, Major in Mathematics(Statistics) at Washington University in St. Louis
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Matt Gleeson - Machine Learning Engineer II at Microsoft