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⚡ About Me

I am a Software Engineer specializing in distributed architectures and backend systems, currently building robust microservices for high-demand financial environments. I balance my time between engineering core banking solutions and scaling my own AI infrastructure startup.

  • 🏦 Enterprise Engineering: Building Kafka-driven, fault-tolerant Java & Spring Boot microservices at Dimensa (TOTVS + B3), processing over R$13T+ in daily assets for 9 of Brazil's top 10 banks.
  • 🚀 Entrepreneurship: Founder of Novaware, delivering AI support agents, WhatsApp automation, and full workflow orchestration for SMBs.
  • ⚙️ Core Philosophy: I build pragmatically, prioritizing high cohesion and loose coupling. My workflow heavily relies on the Red-Green-Refactor TDD cycle to ensure robust test coverage at unit, integration, and acceptance levels. I apply Clean Architecture, DDD, and SOLID principles to maintain clear system boundaries without over-engineering.
  • 🎓 Current Focus: Completing my B.Sc. in Computer Science at Unisinos (Dec 2026), researching LLM pipelines for automated financial signal extraction from Brazilian regulatory documents.
  • 🌍 Looking For: Open to remote, international opportunities (USD) where I can leverage my expertise in event-driven systems to solve complex scalability problems.

🏗️ What I Build

🏦 @ Dimensa

Building and maintaining Java + Spring Boot microservices for Brazil's largest financial infrastructure platform.

  • Kafka-driven async pipelines reducing service coupling
  • Observability stacks with Grafana & Prometheus
  • PostgreSQL · Docker · Kubernetes · AWS

🤖 @ Novaware

Delivering intelligent automation to small and medium businesses — from AI agents to full workflow orchestration.

  • AI support, sales & scheduling agents
  • WhatsApp automation via Evolution API
  • n8n · LangChain · Supabase · Typebot

🛠️ Tech Stack

Core Backend

Cloud & Infrastructure

Also Work With

Tooling & IDEs


💡 Current Research

TCC (Undergraduate Thesis): Building an LLM pipeline to extract financial signals from Brazilian regulatory documents (CVM API — DFPs, ITRs, Fatos Relevantes) and correlate them with B3 stock price movements. Fully public data. Fully automated. Expected: Dec 2026.


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