AI Full-Stack Engineer — I ship AI inside real products, not demos.
The hard part of an AI feature was never the prompt. It's the product around it: orchestration, integrations, evals, and the UI/back-end that make it survive real usage. I do the whole layer.
- 🏗️ Ex-Pivot (procurement fintech) — shipped the PO approval flow + NetSuite integration
- 🤖 Founder of Neige — built an autonomous AI agent platform solo, empty repo to production
- ⚡ 9 years shipping full-stack, exclusively in startups & scale-ups
- 🧰 Next.js · TypeScript · Node · FastAPI · Python · OpenAI/Anthropic APIs · agents · RAG
ledgerloop — an end-to-end invoice procure-to-pay pipeline: a vendor PDF is read by a vision model, then 2/3-way matched, routed, and reconciled. AI sits only where it earns its keep — reading the messy document, and investigating a flagged exception against unstructured records — while the money decisions are deterministic, unit-tested code, pausing for a real human decision before anything posts. Deterministic where it must be, agentic only where the trajectory is genuinely open-ended, with a live execution trace and graceful failure. Built with Mastra.
AI Invoice Parser — drop a PDF invoice, an AI agent returns a schema-validated structured object and flags anomalies. A focused take on production-grade AI: strict typing, runtime validation at every boundary, and an eval harness across 9 messy real-world formats.
🌍 Remote from Mexico City · Available for contract work · Building AI into a fintech product? Let's talk.