Principal Software Architect specializing in AI systems governance, secure pipeline design, and federal data engineering.
I design systems where safety is enforced by architecture, not by policy. Models violate prompt-based restrictions at rates between 20 and 62 percent. Architecture does not.
- Agentic AI pipeline architecture with deterministic control planes
- Governed AI developer tooling and MCP server design
- Architecture-enforced guardrails against LLM hallucination and capability abuse
- Federal data engineering under GovCloud and FedRAMP-adjacent constraints
- Failure mode driven design - I start from what can go wrong
- Principal Software Engineer, Architect & Technical Lead at NIEHS/NIH (ASRC Federal)
- Contributing to the OWASP Agent Security Regression Harness
- Accepted to Georgia Tech OMSCS, ML/AI Security, Fall 2026
- Building MinderCare - a privacy-first, offline-first clinical care management app
Federal File and Metadata Extraction and Migration
Active DoD Secret Clearance
