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πŸš€
Developing ideas
πŸš€
Developing ideas
  • Salt Systems
  • Salvador, Bahia
  • 21:44 (UTC -03:00)
  • LinkedIn in/arnaldo-dev

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acn3to/readme.md
πŸ‡ΊπŸ‡Έ English
πŸ‡§πŸ‡· PortuguΓͺs

Hey there, I'm Arnaldo! πŸ‘‹

Backend Developer with a passion for AI-powered solutions

import dev.acn3to.Developer;

public class AboutMe extends Developer {
    private String name = "Arnaldo Neto";
    private String area = "Software Development";
    private String location = "Salvador / BA";
    private String[] specialties = {"Backend", "AI Engineering", "Low-Code", "Cloud Infrastructure"};
    private String currentFocus = "Building RAG systems and autonomous agents";
}

public class Skills extends Developer {
    private String[] languages = {"JavaScript", "TypeScript", "Python", "Java"};
    private String[] frameworks = {"NestJS", "Express.js", "Spring Boot", "Angular"};
    private String[] databases = {"MongoDB", "PostgreSQL", "Redis", "Elasticsearch"};
    private String[] ai = {"LangChain", "LlamaIndex", "OpenAI", "Qdrant", "RAG", "Crew AI"};
    private String[] lowCode = {"n8n", "Typebot", "Dify", "Metabase"};
    private String[] architecture = {"Microservices", "DDD", "Hexagonal Architecture", "RESTful APIs"};
}

πŸ’« About Me

  • πŸš€ Backend Developer with 2+ years of experience, building scalable systems that deliver measurable business outcomes
  • πŸ’Ό Currently developing high-performance APIs and AI solutions at Salt Systems
  • πŸ€– Crafting RAG-based implementations and autonomous agents that enhance credit recovery platforms
  • 🧩 Designing microservices architectures following DDD and Hexagonal patterns
  • πŸŽ“ Former Programming Mentor at Cubos Academy, guiding 30+ students through their coding journey
  • πŸ“Š Data pipeline enthusiast: connecting MongoDB, PostgreSQL, and Elasticsearch to power business intelligence

πŸ› οΈ Tech Stack

Core Technologies

Data & AI

Automation & Low-Code

DevOps & Cloud

πŸš€ Featured Projects

πŸ“Š Credit Recovery Platform

  • Led backend development for platforms serving Ambev and Afamais
  • Improved recovery rates by 20% through optimized data processing
  • Built ETL pipelines with MongoDB aggregation framework

πŸ€– AI-Powered Document Processing

  • Architected complete SaaS solution with Python, RAG, and LangChain
  • Implemented production-grade vector search using Qdrant
  • Created WhatsApp Business API integration for document retrieval

πŸ”„ Workflow Automation System

  • Developed autonomous AI agents with n8n and Crew AI
  • Created omnichannel interfaces that significantly reduced manual tasks
  • Integrated with existing credit negotiation platforms

πŸ“ˆ GitHub Stats

🌐 Connect With Me

Linkedin Gmail GitHub

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