25+ years turning enterprise data chaos into engineered order. From Intel's manufacturing pipeline to credit union AI — I don't just manage databases. I build the systems that make them intelligent. Currently working with SQL Server 2025.
Built at Sunward Federal Credit Union. Staff type a question in plain English — HELIOS writes the SQL, runs it, and returns results. It logs every query with the user, timestamp, row count, and how long it took.
We mapped out how the member database is segmented, found the most efficient way to query each piece, joined them together, and built that into a reusable tool. That became the foundation HELIOS was trained on — 72 seed queries to start, 5,000+ self-learned from real tickets over 6 months, and it keeps growing.
Mail return rate dropped from 3–5% to 0.2%. Saves $300+ per 10,000 mail pieces.
(It is so not quick, and absolutely not dirty.) A full datamart architecture built to support HELIOS — structured staging, validated address logic, deduplication patterns, seeded with 72 annotated queries — now self-expanded to 5,000+ production queries through 6 months of live operation. The system compounds in value every day it runs.
Tell me about your company, your data problems, and what you need. An AI trained on 25 years of Richard's actual work will tell you exactly how well he fits — and why.
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