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| 🇧🇷 Português |
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, AI agents and conversational interfaces with LLMs";
}
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", "OpenAI", "Qdrant", "RAG", "CrewAI", "AI Agents"};
private String[] lowCode = {"n8n", "Typebot", "Metabase"};
private String[] architecture = {"Microservices", "DDD", "Hexagonal Architecture", "RESTful APIs"};
private String[] testing = {"Jest", "Pytest"};
}- 🚀 Backend Developer with 2+ years of experience, building scalable systems that deliver measurable business outcomes
- 💼 Currently developing high-performance APIs and AI solutions at Salt Systems
- 🤖 Creating RAG systems, AI agents and conversational interfaces that enhance credit recovery platforms
- 🧩 Designing microservices architectures following DDD and Hexagonal patterns
- 🎓 Former Programming Mentor at Cubos Academy, guiding 30+ students through their coding journey
- 📊 Data pipeline enthusiast: connecting MongoDB, PostgreSQL, and Elasticsearch to power business intelligence
- 💬 Integrating WhatsApp Business API for enhanced customer interactions
- ☕ Backend developer by day, AI wizard by night. Turning coffee into code and business problems into effective solutions... without accidentally creating Skynet (so far). 🤖
- Led backend development for platforms serving Ambev and Afamais
- Improved recovery rates by 20% through optimized data processing
- Built data pipelines with MongoDB for real-time Metabase dashboards
- Architected complete SaaS solution with Python, RAG, and LangChain
- Implemented production-grade vector search using Qdrant
- Created WhatsApp Business API integration for document retrieval
- Developed intelligent chatflows with Typebot and LLMs
- Created autonomous AI agents that handle complex decision-making processes
- Built omnichannel interfaces with WhatsApp Business API integration
- Implemented solutions that significantly reduced manual customer service tasks
