
AI Agent & Automation Developer
I build and deploy AI systems that do real work — agents, RAG pipelines, and document automation.
Python · FastAPI · Next.js · Claude & OpenAI · MCP · Docker. I take AI from prototype to a deployed, containerized service people actually use — backed by 15 years of running real-world industrial operations, so I understand the process before I automate it.
About me
I'm an engineer who builds AI that ships. I spent the first part of my career in industrial engineering and production management — running operations, defining what correct looked like for a process, measuring when it drifted, and cutting waste. That taught me something most developers never learn the hard way: automation only matters when it solves a real bottleneck in how a business actually runs.
I now build that automation directly. My focus is AI agents and workflow systems — designing them, prompting them well, wiring them to APIs and databases, containerizing them with Docker, and deploying them so they run reliably. I work day-to-day with Claude and OpenAI, RAG and vector databases, both sides of the Model Context Protocol, and document extraction on LandingAI's ADE. I write my own agent orchestration rather than leaning on a framework, and I set my own timeouts, retries and validation rather than relying on library defaults. On the frontend and full-stack side I work in Next.js, React, Node.js, and Ruby on Rails.
What I bring that's harder to find: I combine current, hands-on agentic-AI work with a deep, practical understanding of business processes — and I deliver. I'd rather show you a deployed system than a slide. I'm available for contract projects and open to the right full-time role.
My projects
A document-intelligence suite (parse, extract, RAG, multi-doc chat), a multi-agent research system, MCP infrastructure, and a real-time voice agent — all built and deployed.
ADE Parse — Document Parser & Extractor
Vision-first parsing of any PDF or image into structured markdown, plus schema-based field extraction with visual grounding (handles handwriting, stamps, broken tables).
- JavaScript
- Vite
- LandingAI ADE
ADE Pipeline — Loan Application Processor
End-to-end intake for lending/KYC — batch-classify financial docs (IDs, W-2s, pay stubs, bank/investment statements), extract type-specific fields, and cross-validate across all of them.
- Python
- FastAPI
- Claude
- LandingAI ADE
- React
ADE RAG — Document Q&A
Retrieval-augmented Q&A over a corpus of uploaded documents — answers grounded in source chunks with page citations.
- Python
- FastAPI
- Claude
- LandingAI ADE
- ChromaDB
- OpenAI Embeddings
ADE Chat — Multi-Doc Chat
Conversational interface over multiple documents simultaneously — cross-file reasoning with full citation support.
- Python
- FastAPI
- Claude
- LandingAI ADE
- ChromaDB
Research Agent (Multi-Agent System)
A team of cooperating AI agents — planner → researcher → writer → editor — that autonomously produces full academic reports from arXiv and live web search, with real-time progress tracking.
- Python
- FastAPI
- aisuite
- PostgreSQL
- Docker
MCP Chatbot Client
A Model Context Protocol client (~250 lines) that connects to any number of MCP servers declared in config and discovers their tools dynamically — solving the M×N integration problem with a clean M+N pattern.
- Python
- MCP
- Claude API
Cooking Copilot — Voice Agent
A voice-driven cooking assistant — talk to the agent while you cook and it drives the on-screen recipe (advancing steps, highlighting ingredients, starting timers) while the UI feeds context back to the agent. Built on the Vocal Bridge SDK — I built the application layer and the bidirectional client actions, not the speech pipeline.
- React 19
- TypeScript
- Vite
- Vocal Bridge SDK
My skills
- Anthropic Claude API
- OpenAI API
- AI Agent Development
- Agent orchestration & tool-calling loops
- Model Context Protocol (client & server)
- RAG
- Vector Databases (ChromaDB)
- Document AI (LandingAI ADE)
- Voice agent UI (Vocal Bridge SDK)
- Ollama (local inference)
- Prompt Engineering
- Python
- FastAPI
- REST API design
- Async background jobs
- Docker
- VPS deployment (Contabo / Easypanel)
- AWS S3 (application level)
- Linux
- Timeouts, retries & exponential backoff
- LLM output validation
- Structured error handling
- PostgreSQL
- TypeScript
- React
- Next.js
- Tailwind CSS
My experience
Electronics & Automation Engineering
Universidad de Vigo
Studied Industrial Electronics and Automation Engineering — the technical foundation I later carried into operations and, today, into AI and automation work.
1998 - 2002Production Manager — MAI
Ourense, Spain
Ran operations and a 20+ person team. Defined what correct looked like for a process, measured when it drifted, and traced failures to root cause — the process discipline I now bring to automation work.
2002 - 2017Technical Mentor — Microverse
Remote
Mentor junior developers through code reviews and architecture guidance, focused on code quality and shipping complete full-stack projects.
2022 - PresentAI & Automation Developer — Freelance
Remote
Design, build and deploy AI systems: multi-agent workflows, RAG pipelines, MCP integrations, and document-extraction automation using Claude, OpenAI, and FastAPI — shipped as containerized services on VPS infrastructure. 30+ certificates in AI, machine learning and mathematics from Stanford, MIT and DeepLearning.AI.
2022 - PresentFull-Stack Developer — The Ticket Merchant
Remote
Built an internal web application (Next.js, Node.js, SQL Server) with an API/microservices architecture. Ran code reviews and solved complex integration problems with a multidisciplinary team.
2023 - 2024Let's build something.
Available for AI/automation contract work and open to full-time roles. The fastest way to reach me is email at jorgegoco70@gmail.com — tell me what you're trying to automate or build, and I'll tell you honestly whether I'm the right fit.