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coelhoxyz/README.md

AI Engineer with 4+ years building production multi-agent systems, LLM-powered products, and scalable data architectures.

Currently shipping AI agents generating $3,000+/month with CrewAI, LangGraph, and OpenAI API. Delivered solutions for enterprise clients achieving 90% reduction in response times through model rotation and SLM optimization. 600M+ records processed, ETL pipelines, and full-stack AI deployment on AWS.

Stack:

  • AI/ML: CrewAI, LangChain, LangGraph, OpenAI API, RAG, Multi-Agent Systems, Prompt Engineering, Whisper ASR, TensorFlow, PyTorch, OCR
  • Languages & Tools: Python, TypeScript, Rust, SQL, Flutter, FFmpeg, Docker, Pandas
  • Data: BeautifulSoup, Selenium, Playwright, Puppeteer, Web Scraping, ETL Pipelines
  • Cloud & DevOps: AWS (S3, SQS, ECS, EC2), Azure, Redis, PostgreSQL, CI/CD, Apache Airflow, Databricks
  • Blockchain: Solana, Ethereum, Virtuals Agents Protocol, Web3, X API

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  1. lead-qualifier-agent lead-qualifier-agent Public

    AI-powered lead qualification chatbot using LangGraph, NestJS, and pgvector for conversational funnel extraction and RAG-based scoring

    TypeScript

  2. clawrecall clawrecall Public

    Lightweight 3-tier memory and context management for AI agents. Token-budget-aware, SQLite-backed, zero-config. Works with Claude, OpenAI, or any LLM agent system.

    TypeScript