I lead high-stakes data and AI work for healthcare, government, and Fortune 100 clients — statewide election infrastructure, petabyte-scale analytics platforms, agentic AI in regulated environments, Fortune 100 database fleets. Thirty years of shipping systems that have to work on the first day, under real load.
Moving 24 Oracle instances onto a 13-site multi-master MariaDB topology that had to survive county-level network outages and keep elections running. Delivered three months ahead of a $12M contract. Still has 100% uptime through hundreds of election cycles.
Authoring the internal migration runbook for Amazon's company-wide mandate to move applications off VMs and onto AWS, in the era before CloudFormation, Lambda, ECS, or most managed services existed. The primitives were EC2, S3, EBS, and early RDS — and the architectural judgment we developed then is exactly what later abstractions let engineers stop thinking about.
Additional engagements under discussion. Further work in production AI for healthcare (patient outreach, clinical document intelligence), near-real-time data ingestion at petabyte scale, Fortune 100 database architecture, and public-sector systems. Descriptions available under appropriate agreement. Get in touch.