Fourteen years of hands-on work, from a computer repair bench to deploying clinical software inside hospitals. I pride myself on careful and methodical integration work. The software suite I deploy today includes multiple AI systems. The systems I build and run on my own time do too. I enjoy knowing both sides, deploying AI for others and building it for myself.
Deploy an AI radiology software suite across hospitals and imaging centers, and own integration and functionality end to end. Design and implement software integrations; primary technical liaison between system administrators, analysts, and developers.
Ran HIPAA-regulated PHI environments on MS SQL. MS365 global admin (Azure AD, Exchange, Teams) for a hybrid cloud; managed on-prem servers and Azure VMs with PowerShell and automated recurring processes.
Led a team of six technicians; wrote the work instructions and shop procedures that earned ISO 9001 and 13485 certification, the same documentation discipline AI governance demands. National travel to resolve complex system failures.
Ultrasound component repair and retail computer hardware/software diagnosis, direct customer support. Where the habit of fixing things at the client's site started.
I started out fixing hardware and software problems in retail and worked up to deploying clinical software inside hospital systems: HL7 interfaces for reporting software, integrations with dictation systems and PACS, plus the HIPAA governance and paper trails regulated software demands. Deploying an AI suite in that world taught me what it takes to make software behave when real people depend on it.
Now I build my own systems from scratch: LLM agents, MCP servers, and the operational plumbing that keeps them running. I've seen how AI gets deployed and how it gets made, and I'm looking for forward-deployed or solutions roles where doing both matters.
Early-stage applied-AI teams especially. If you need someone who can deploy the product and build it, send me a note.