• 🚀 Full-Stack Developer & Geospatial Engineer — Building scalable systems at the intersection of AI, GeoTech, and Web Development
• 🏛️ Research Leader at LambdaGeo — Open-source geospatial tools and semantic data integration
• 💼 Associate Professor at UFMA — Ph.D. in Applied Computing from INPE

Lately, I have been channeling my development efforts into high-impact projects, moving from general experimentation to specialized systems.

My primary focus is currently on IntegrAI, a platform designed for healthcare professionals using a modern microservices architecture.

• Architecture: Built with Django and Docker.
• Innovation: Heavy focus on LLM integration and AI-driven support systems.

• brmangue: Python toolkit for Brazilian mangrove ecosystem analysis

  • Used by environmental researchers for coastal monitoring
  • Integration with Brazil's official environmental datasets

• dissmodel: Discrete spatial modeling library (Cellular Automata, Zonal Stats)

  • 📚 Documentation | PyPI Package
  • Applied in land-use change modeling and urban planning research

• qgisparql-layer2triple: Export vector layers as RDF triples in Turtle format.
• qgisparql-triple2layer: Import linked data from SPARQL endpoints directly into QGIS layers.

Parallel to my production focus, I maintain a strong commitment to teaching computer science fundamentals.

My main teaching project for compiler design and formal languages.

• Implementing Nand2Tetris, Lox, Eva, and C--.
• Developed across multiple paradigms using C++, Go, Python, Clojure, and Elixir.

• Core: C++, Go, Python, Haskell, Clojure, Elixir.
• Backend: Node.js (Adonis), Python (Django), Java (Spring Boot).
• Ops: Docker, AWS, CI/CD pipelines.

• Platforms: Google Earth Engine, QGIS (PyQGIS).
• Data: PostGIS, RDF & Triple Stores (Fuseki), SPARQL.

• 📝 Notion: Check my Notion profile for project notes.
• 🔗 Timeline: Stay updated via my GitHub Activity.