Summary
Rich Huebner is a Senior AI Integration Engineer and seasoned AI leader with 11+ years building production AI and data platforms that bridge research and operational impact. At Nelnet he designed RequireFlow, RAG-driven customer intelligence, and tutoring integrations using Azure OpenAI, FastAPI, React/Node, and vector stores—skills rooted in prior roles as CTO, data scientist, and enterprise architect. He founded Nantasket Analytics to apply agentic AI to real-world workflows (and even an AI-backed dissertation coach that deliberately never writes the dissertation), demonstrating a pragmatic ethics-first approach to automation. An educator and mentor across MBA/DBA programs and corporate teams, he combines academic rigor with delivery focus, improving efficiency and retention through analytics and ML. Based in Hull, MA, Rich evaluates bleeding-edge AI tech (agentic systems, vector DBs, GPT-5) and codifies repeatable playbooks to scale safe AI adoption across organizations.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.) Information Systems, Master of Science (M.Sc.) Information Systems at Nova Southeastern University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Capella University
Master of Science (M.S.), Master of Science (M.S.) at Eastern Nazarene College
German, English