I build and apply production-grade RAG systems, advanced prompting frameworks, and AI-augmented workflows that solve real problems in cybersecurity assessment, compliance documentation, and complex operational domains — not demo-ware.
Custom RAG pipeline that produces assessor-ready System Security Plans with explicit inline citations in hours instead of weeks.
Directed AI agents that perform rapid control-gap analysis against NIST 800-171A and generate preliminary POA&Ms.
On-prem and VPC-deployed RAG systems for organizations that need powerful search without leaking data to public models.
Battle-tested prompting libraries, chain-of-verification techniques, and evaluation harnesses.
I refuse to ship systems that hallucinate confidently. Retrieval quality and evaluation are first-class engineering problems.
Every production system includes structured human review and citation verification.
Focus on private deployments, audit logs, cost control, and graceful degradation.
I am focused on making large language models reliable instruments for high-stakes, evidence-based work in regulated industries and government-adjacent domains.
I am selective. I work best with organizations that have real data, real stakes, and treat AI as disciplined engineering.