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Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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migue0418/README.md

Hi, I'm Miguel Ángel (Migue) Benítez 👋

🚀 AI Engineer focused on building LLM agents and RAG systems that can be shipped to production.

I work end-to-end: from backend APIs to web interfaces, with a strong focus on clean code, scalability, and observability.

🧠 What I do

  • LLM agents with LangChain and LangGraph (multi-agent architectures)
  • RAG pipelines with vector databases (Milvus, Qdrant)
  • Backend in Python / FastAPI
  • Web UIs in React
  • Monitoring via structured logging + dashboards

🛠️ Tech stack

Core

Python FastAPI SQL React Docker Git

GenAI

LangChain LangGraph LangSmith Milvus Qdrant

🔨 Projects

MinecraftButlerAI - LangGraph agent with RAG, voice input (faster-whisper), and Redis conversation memory, served as a FastAPI backend for a Minecraft mod. Full Docker Compose setup.

📌 Currently

  • Building production-grade agentic systems (WhatsApp / Microsoft Teams / Web)
  • Improving RAG quality (chunking, embeddings, retrieval, evaluation)
  • Hardening deployments and observability

📫 Let's connect

Pinned Loading

  1. minecraft-butler-ai-backend minecraft-butler-ai-backend Public

    Minecraft Mod that insert a Butler with a LLM graph and RAG

    Python 1

  2. fastapi-react-template fastapi-react-template Public

    FastAPI + React template with spec-driven development (OpenSpec)

    Python

  3. TFM-Miguel-Angel TFM-Miguel-Angel Public

    Trabajo Fin de Máster para el Máster Universitario Oficial en Ciencia de Datos e Ingeniería de Computadores de la Universidad de Granada.

    Jupyter Notebook

  4. miguealguacil miguealguacil Public

    Personal web portfolio

    TypeScript