Matt is an AI Engineer who architects and implements AI solutions for utilities. He came to AI after more than a decade building data-driven technology solutions across geospatial and utilities-focused solutions, where the value came from making complex data usable. That perspective shapes how he approaches retrieval: the hard problems in production RAG are usually data problems, not model problems. Today, he designs architectures that ground language models in structured enterprise data, focusing on the schema mapping, retrieval strategy, and system design decisions that determine whether a solution survives contact with real data. He holds a background in computer science and mathematics.