Matthew Paterson is a Data Science Manager and AI/ML solutions architect based in Seal Beach, California, with a track record of building and leading small technical teams to deliver production-grade ML and MLOps solutions for enterprise clients. He blends hands-on machine learning engineering—especially computer vision for satellite manufacturing and space-science applications—with curriculum development for Caltech CTME and mentorship through his nonprofit incubator, SpaceLab, which trains underrepresented early-career technologists using real-world NASA data. His background spans end-to-end deployments on AWS, GCP and Azure, API and GraphQL integration, and practical MLOps that moved proofs-of-concept into production at scale. Prior roles include senior data science positions at Capgemini and Terran Orbital and instructional work at General Assembly, reflecting both technical depth and an ability to teach complex topics. Notably, he helped adapt CNN models used in Kepler/K2 research to TESS data for public-facing planet-finding projects—an uncommon intersection of applied ML, outreach, and space science.
8 years of coding experience
11 years of employment as a software developer
Communication Conflict Resolution Public Relations Argumentation and Critical Thinking, Communication Conflict Resolution Public Relations Argumentation and Critical Thinking at University of Maine
Bachelor of Arts - BA English, Bachelor of Arts - BA English at University of New Hampshire
Bachelor of Arts English, Bachelor of Arts English at University of New Hampshire-Manchester
Merrimack
Associate of Science - AS Computer Science, Associate of Science - AS Computer Science at Cabrillo College
Data Science Immersive Data Science and Machine Learning, Data Science Immersive Data Science and Machine Learning at General Assembly
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