• 🚀 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

My main research and development focus is DisSModel, a modular Python framework for spatially explicit dynamic modeling — designed as a modern, Pythonic alternative to TerraME.

• Dual-substrate architecture — vector (GeoDataFrame) for GIS integration, raster (NumPy) for high-performance simulation (~4,500× faster at 10k cells)
• Discrete-event engine powered by Salabim
• Supports Cellular Automata, System Dynamics, and hybrid models
• Applied in coastal dynamics, land-use change, epidemic spread, and urban growth modeling

• coastal-dynamics — Flood propagation and mangrove migration models built on DisSModel, applied to the Maranhão coast (Brazil)

A platform for healthcare professionals using a microservices architecture with Django, Docker, LLM integration, and AI-driven decision support.

• dissmodel — Discrete spatial modeling framework (Cellular Automata + System Dynamics)
• coastal-dynamics — Coastal flood and mangrove simulation (DisSModel case study)
• qgisparql-layer2triple — Export QGIS vector layers as RDF triples (Turtle format)
• qgisparql-triple2layer — Import linked data from SPARQL endpoints into QGIS
• rdfmapper — Declarative Object-RDF Mapper for Python
• DBCells — Architecture for publishing spatial modeling data as Linked Data

Compiler design and formal languages — implementing Nand2Tetris, Lox, Eva, and C-- across C++, Go, Python, Clojure, and Elixir.

Software Engineering — C++, Go, Python, Haskell, Clojure, Elixir · Django, Node.js, Spring Boot · Docker, AWS, CI/CD

Geospatial — GeoPandas, NumPy, rasterio, libpysal · Google Earth Engine · QGIS (PyQGIS) · PostGIS · RDF / SPARQL (Fuseki)

• 📝 Notion profile
• 🔗 GitHub Activity