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DylanMerigaud/README.md

Hi, I'm Dylan 👋

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

📦 Featured work

ledgerloop — four cooperating AI agents run an invoice through the procure-to-pay loop (intake → 2/3-way matching → approval routing → reconciliation), streaming the live execution trace and pausing for a real human approval when a price or quantity mismatch is caught. The orchestration layer done properly: typed agent boundaries, conditional routing, graceful failure, a stateless streaming demo. Built with Mastra. ▶️ Live demo

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. ▶️ Live demo


🌍 Remote from Mexico City · Available for contract work · Building AI into a fintech product? Let's talk.

📫 dylanmerigaud.pro@gmail.com · LinkedIn

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  1. ledgerloop ledgerloop Public

    Multi-agent finance-ops toolkit (procure-to-pay) built with Mastra. Showcase of agent orchestration: invoice intake, 2/3-way matching, approval routing, reconciliation.

    TypeScript 1

  2. ai-invoice-parser ai-invoice-parser Public

    Drop a PDF invoice → a schema-validated structured object + automated consistency checks. A focused demo of production-grade AI: strict typing, runtime validation at every boundary, graceful failur…

    TypeScript 2