Michael Evans is a Principal Applied Science Manager at Microsoft with a decade-plus career translating spatial and search research into production systems that serve millions. He leads cross-functional teams in M365 Core Search Relevance to improve enterprise Copilot and search quality using transformer models, semantic search, and RAG, building on deep expertise in geocoding, routing, and geographic information retrieval from his Bing Maps work. His background includes a PhD in computer science and research on spatial big data, giving him a strong foundation in both theory and large-scale engineering. Known for shipping novel systems—such as a geocoding platform and transformer-based route ranking—he excels at turning academic insight into reliable, user-facing features. Based in Seattle, he combines rigorous research instincts with pragmatic product focus and a passion for developing strong teams.
8 years of coding experience
18 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Minnesota
BA, Computer Science, BA, Computer Science at Saint John's University
Fake JSON Server is a Fake REST API that can be used as a Back End for prototyping or as a template for a CRUD Back End.
Contributions:2 pushes in 1 year
backendcrudjson-serverrestrest-api
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