About
I'm an Enterprise AI Architect working at the boundary of engineering, product, and applied AI — translating executive intent into production systems and surfacing what's technically real back up to the strategy table.
My current focus is scaling GenAI platforms and agentic workflows in healthcare. The work is reusable common services and architectural patterns — document understanding, RAG quality, orchestration, multi-model routing — that let hundreds of use cases share a substrate with governance, cost discipline, and measurable impact baked in.
I excel at translating complex technical challenges into production-ready platforms, aligning stakeholders across business and engineering, and shipping systems that balance time-to-market, extensibility, and enterprise governance.
Current focus
Enterprise GenAI Common Services
Reusable substrate: retrieval, tool execution, orchestration, observability — so 200+ use cases ship faster, with governance built in.
Multi-agent system design
When agents should disagree, eval harnesses as architecture, dissent thresholds, blameless human-in-the-loop.
AI in regulated workflows
Prior authorization, clinical decision support, PHI-aware patterns at population scale.