Have an AI idea — or a feature that needs to ship? I take it from prototype to production: RAG systems, multi-model LLM orchestration, voice AI, and conversational products, backed by 6+ years of full-stack engineering.
Anthropic‑certified Claude Architect · FoundationsVerify A free 30-minute intro — bring your idea or problem, and leave with a clear path to ship it. No pitch.
I build production generative AI — and the full-stack systems it runs on: RAG platforms that answer from your own data with citations, multi-model LLM orchestration across AWS Bedrock, Anthropic, and Gemini, AI voice agents, and conversational interfaces that turn questions into answers and actions.
Across 6+ years I've shipped these into fintech, recruitment, social analytics, and customer support — owned end to end, from the model layer to the product users touch. And when an idea still needs shaping, I build working prototypes to help perfect it before the full build. Bring an AI idea or a feature that needs to ship, and I'll take it to production.
Secure apps for thousands of users.
CV scoring + AI voice interviews.
NLP audience & sentiment at scale.
RAG help-desk that deflects tickets.
Answer engines grounded in your data — ingestion, chunking, hybrid retrieval, re-ranking, and citations you can trust.
Agents that plan, use tools, and act reliably — with guardrails, tracing, and human checkpoints where it matters.
From blank repo to a product in front of users — the model layer, the app, auth, billing, and a UI that feels finished.
Already have a prototype? I add evals, observability, cost control, and the reliability that lets you actually ship it.
Less about how I work, more about what you walk away with — and how often.
You click a real version in week one and decide if it's right — before committing to the full build.
Evals, observability, and cost control come standard — not a "phase 2" line item that never lands.
Clean repo, docs, and a walkthrough at handoff. No black box, no lock-in to me.
If something won't work or isn't worth the spend, you hear it early — while it's still cheap to change.
A repeatable path from idea to something you own — here's the shape of an engagement, step by step.
We pin down the real problem and the smallest thing worth shipping — scoped against what the model can actually do, not wishful thinking.
You click a real thing in week one — not a slide. We learn what's right and what isn't while it's still cheap to change course.
Evals, observability, and cost control — the reliability layer that turns a promising demo into something you can put in front of real users.
Clean code, docs, and a walkthrough. No lock-in, no "only Christian understands it." The system is yours to run and extend.
Hiring, contracting, or comparing notes on shipping AI? My inbox is open.
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