Dimension: BUILD

Reliability-First
AI Architectures.

I don't build models; I build the systems that prove models work. My focus is engineering the infrastructure that makes AI dependable at scale.

2026

Applied AI Platform Engineer

Architected a ReAct-style LLM agent with a 5-layer defense strategy (system prompt, deterministic engine, structured output, post-hoc guardrail, QA auditor) to enforce 100% mathematical accuracy on healthcare boundaries.
Deployed eval-gated CI/CD pipelines preventing code merges if LLM hallucination checks failed against 16 predefined distribution edge-cases.
Secured HIPAA-compliant memory scoping using per-session context isolation.

2026

Applied AI Platform Engineer

Built a Python-based execution protocol standardizing Model Context Protocol tool access across various LLM environments (Claude, Gemini).
Abstracted OS-level security constraints to allow sandbox-safe file system and database access tools.

2015 - 2018

Technical Director

Architected multi-cloud enterprise PaaS onboarding covering 7 massive internal platforms serving millions of transactions.
Authored the '12 Cloud Native Principles' standard across engineering orgs, compressing legacy delivery cycles from months to weeks.
Ensured robust 99.99% availability standards against extreme financial sector compliance testing.

2009 - 2013

Manager, Solutions Architecture

Built an internal cloud PaaS from zero, reducing software licensing costs by $1M and achieving full NIST/FISMA compliance for federal contracts.
Transformed core paper-based state interactions spanning weeks into fully automated flows executing under 60 seconds (99% cycle time reduction).
Designed static code analysis policies conforming to OWASP standard.

Published Thought Leadership

The Applied AI Philosophy.

Published: 2026