Applied AI & LLM systems
Production LLM applications — retrieval, structured extraction, evaluation loops, and the guardrails that make them dependable.
~/ expertise
A generalist who's gone deep — applied AI and full-stack engineering, sharpened across industries where systems actually get stress-tested.
~/ ai, applied
Not AI for the demo — AI wired into systems where it removes real work and compounds over time.
Production LLM applications — retrieval, structured extraction, evaluation loops, and the guardrails that make them dependable.
Agentic workflows that take on the fuzzy, judgment-shaped steps a human used to sit in the middle of.
Where AI creates real leverage versus noise — build vs. buy, sequencing, and an honest read on what's actually ready.
Practical models wired into real systems, instrumented so they keep improving instead of quietly drifting.
~/ domain depth
Commerce infrastructure end to end — product data, order flows, warehouse and fulfilment logic, and the operational layer behind scale.
Systems and integrations built for carrier-grade scale, reliability, and the realities of large, regulated operations.
Device fleets, firmware-adjacent tooling, and the software that drives and observes physical hardware.
Content, catalog, and distribution pipelines that move product and data reliably across channels.
Programmatic advertising, audience and campaign systems, and the high-throughput data pipelines behind them.
~/ ways to engage
Engagements are scoped to fit — fractional, advisory, or project-based. Rate card and availability on request.
Ongoing technical leadership.
Senior judgment, on call.
From AI roadmap to shipped.
A clear read on what's real.
Design and ship the core.
Tell me the problem. If I'm the right fit, I'll say so — and if I'm not, I'll point you to who is.
start a conversation →~/ stack