20+ years shipping software. Deep roots in Vue.js architecture, LLM integration, agentic systems, and RAG pipelines. The rare engineer who moves fluently between the AI layer and the human layer.
Most engineers who call themselves "applied AI" have wired up an API. That's not the hard part. The hard part is building the layer between AI capability and human trust — the interface, the evaluation framework, the reliability guardrails, the design instinct that knows when a response needs to be presented differently.
I've spent 20 years getting extremely good at that layer. From being the first engineering hire at magicJack for Business to leading Vue.js migrations at scale to co-founding StaqMed — a healthcare AI platform where the AI architecture is the product — the throughline is translating complex technical capability into something a non-technical person trusts and acts on.
I also run a consultancy, Arcanum Vue Architecture, where I do forensic audits of production frontends. That discipline — read a system you didn't build, identify its leverage points, move fast without breaking things — is exactly what you want in an applied AI engineer joining a team mid-build.
I'm actively exploring fully remote senior AI engineering roles where AI is a first-class engineering concern. If you're building something real and need someone who can own the AI layer end-to-end, I'd welcome the conversation.