Summary
Matthew May is an AI consultant and data science leader with 10 years of experience building production ML and generative AI solutions across fintech, autonomous systems, and wealth management. He has led distributed teams to deliver customer-facing and internal AI products that drive revenue, reduce costs, and increase product stickiness, including a thin LLM gateway to democratize and govern LLM usage enterprise-wide. As an engineer he’s hands-on across the stack—designing data models, CI/CD-backed schema migrations, and real-time ML pipelines using cloud-native tooling. Notably, he translated UAV telemetry into actionable classifier ensembles that filtered 84% of biologics from radar data and has redesigned core customer workflows to improve RAG accuracy. Based in the Portland, Maine area, he combines pragmatic delivery with cross-functional collaboration across product, sales, and security. His background as a paratrooper and raft guide informs a disciplined, operational approach to risk and team leadership.
10 years of coding experience
11 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of the Pacific
Associate's Degree Outdoor Recreation Leadership, Associate's Degree Outdoor Recreation Leadership at Feather River Community College District
Galvanize - San Francisco, SoMa
Bachelor's Degree Physics, Bachelor's Degree Physics at University of Nevada, Reno