Summary
Matthew Green is an Artificial Intelligence Consultant and principal-level data architect with over a decade of experience designing analytics platforms and applied-AI systems that drive measurable business outcomes. He blends data engineering, analytics engineering (dbt, BigQuery, Looker), and applied ML/LLM work—focusing on pragmatic architecture and metrics governance rather than model novelty. Matthew has led analytics modernizations and post-acquisition data integrations at scale, and earlier built production ML solutions across energy, accounting, and defense, giving him a clear sense of when ML provides real value. Recently he’s specialized in RAG, prompt engineering, and AI-assisted analytics workflows, helping teams move past hype by prioritizing data readiness and system tradeoffs. Based in Charleston, SC, he is effective in ambiguous, messy environments where long-term decisions matter and enjoys translating fuzzy questions into scalable, trustworthy systems.
10 years of coding experience
14 years of employment as a software developer
Data Science Specialization, Data Science Specialization at Coursera
Nanodegree, Machine Learning, Nanodegree, Machine Learning at Udacity
Bachelor of Science (B.S.), Business Administration, Bachelor of Science (B.S.), Business Administration at College of Business
Bachelor of Science (B.S.), Electrical and Electronics Engineering, Bachelor of Science (B.S.), Electrical and Electronics Engineering at The Citadel