AI Automation Engineer. I turn manual workflows into systems.

I design and ship production AI systems — MCP servers, LLM pipelines, and self-hosted n8n automations. Based in Barcelona, open to engineering roles and serious technical collaborations.

Selected work

Things I've built

Production systems, not demos. A few are internal, so some repos stay private.

MCP servers for Meta Ads & Google Ads

Coming soon

Model Context Protocol servers that let an LLM query live ad-account data — campaigns, spend, performance — and return structured, ready-to-analyse insights. Read-only and typed, safe to point at production accounts.

MCP Claude API TypeScript Node.js Meta API Google Ads API

Competitive audit tool

Coming soon

Scrapes competitor sites and ad libraries, transcribes video creatives with Whisper, and uses Claude to extract structured competitive data — offers, angles, funnels — into a single report.

Python Playwright Whisper Claude API Structured outputs

Google Chat onboarding automation

Coming soon

Automated employee onboarding across Google Workspace: provisions Chat spaces and runs templated welcome flows via GCP service accounts with domain-wide delegation. No manual account setup.

Google Workspace API GCP Service Accounts Domain-Wide Delegation n8n TypeScript

AI Lead Router for Real Estate

In development

A RAG + agentic workflow that qualifies inbound property leads, matches them against listings with pgvector, and routes each one to the right agent with a drafted first reply.

RAG pgvector Supabase Claude API n8n TypeScript

Stack

Tools I work with

A short list I actually reach for, grouped by where it sits.

  • AI / ML

    Claude API MCP RAG · pgvector Structured outputs LangChain (learning)
  • Backend

    TypeScript Node.js Python Supabase PostgreSQL
  • Automation

    n8n (self-hosted) Google APIs Meta APIs
  • Frontend

    Next.js Astro Tailwind
  • Infra

    Vercel Docker Caddy

Day-to-day I build with coding agents like Hermes Bot and Openclaw to move faster.

Luis Piqué

About

Short version

I moved from paid media to building AI systems in about a year — self-taught, by shipping.

My focus is production over prototypes: systems that run every day, fail loudly, and are cheap to keep alive. I care more about a workflow that quietly saves hours than a demo that impresses for five minutes.