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luisgdev/README.md

👋 Hello World

I am a Software Engineer specializing in AI-powered applications and backend development, based in Venezuela.

I build production-ready systems with Python, following best practices (typing, doc-strings, design patterns and clean code). I design and implement AI-driven solutions like RAG pipelines, MCP servers and custom tooling for AI agents.

Hands-on experience with agentic frameworks, working with CLI agent harnesses and developing voice assistant agents. Proficient with SQL, NoSQL and vector databases, including ORM frameworks, and integrating third party solutions integration using APIs and webhooks.

Passionate about building MVPs and SaaS products powered by AI. Currently open to new opportunities in AI engineering, backend development, or full-stack roles.

🔧 Stack

Backend: python django flask fastapi pytest pydantic

Databases: postgresql chromadb pgvector weviate

AI/ML: langchain langgraph crewai mcp rag

Agent Harness: claude-code pi

Frontend: javascript node vue react

DevOps: docker linux nginx

Integrations: OpenAI Claude Twilio ElevenLabs Supabase

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  1. sai sai Public

    Simple AI interface to chat with your LLM models from the terminal

    Python 1

  2. todi todi Public

    Another command line tool to manage to-do tasks. Simple and easy to use.

    Python 1

  3. agentic-rag agentic-rag Public

    Multi-agent RAG demo with FastAPI, LangChain and ChromaDB

    Python

  4. farm-calc farm-calc Public

    CLI app to measure performance of a potential investment in a Staking pool. It uses the APR and gas fee to indicate the best frequency for a compound interest.

    Python 12 5