I started building neural networks in 1998 and have spent nearly three decades implementing AI for companies that can't afford mistakes. I've built systems processing millions of healthcare records, automating SOC2 compliance for financial platforms, and deploying production machine learning models. My focus is clean data, smart architecture, and security-first design. Track record: $2 billion in transactions processed with zero security breaches.

I build retrieval augmented generation pipelines giving LLMs access to private data without external leaks, architect cloud environments that pass HIPAA audits first try, and implement FinOps strategies cutting costs 40% without sacrificing performance. Every technique comes from solving real problems: debugging RAG systems, locking down AWS environments leaking PHI, and rebuilding CI/CD pipelines hemorrhaging money. Find the root cause, fix it properly, document it.

I'm working in Irving now serving the healthcare corridor. With Baylor Scott & White, Christus Health, and multiple medical centers here, companies need HIPAA compliant AI handling sensitive patient data without regulatory nightmares. Being local means on-site availability, face-to-face collaboration, and quick response when issues surface. No timezone juggling or remote consultant unfamiliar with your context.