Felipe Matheus P.

[ Last update: 3/May/2026 ] I'm a Geospatial Data Engineer with 8+ years of experience building scalable geospatial pipelines, AI models, and WebGIS applications. I specialize in turning raw geospatial data (satellite, UAV, vector) into automated, production-ready systems — from data ingestion to analysis, APIs, and visualization. I’ve worked across forestry, environmental monitoring, and custom client solutions, delivering tools that reduce manual work and enable real decision-making. What I do best: Remote Sensing & Geospatial Processing - End-to-end pipelines using Sentinel, Landsat, UAV imagery - Large-scale raster processing (GDAL, Rasterio, Numpy) - Change detection, NDVI workflows, land monitoring - Experience with STAC APIs and satellite data automation Data Engineering for Geospatial - Building ETL pipelines for spatial data (Python, Pandas, SQL) - PostgreSQL/PostGIS schema design and optimization - Automated workflows replacing manual GIS tasks - Handling large datasets efficiently (cloud + local processing) AI for Geospatial Applications - Semantic segmentation (land cover, deforestation, etc.) - Object detection (ships, wind turbines, infrastructure) - Custom computer vision models using PyTorch - Applied ML (Scikit-learn, OpenCV) WebGIS & Backend Development - FastAPI / Django backend development - Building REST APIs for geospatial systems - Interactive maps (Leaflet, MapLibre) - GeoServer and spatial services integration Cloud & Deployment - AWS (EC2, S3, Lambda) - Dockerized applications - Deploying scalable geospatial systems - Selected Experience - Built automated pipelines for satellite data processing and analysis - Developed WebGIS platforms for real-time geospatial visualization - Created AI models for environmental monitoring and object detection - Delivered custom ETL solutions integrating complex spatial datasets Why clients hire me? I don’t just “analyze maps” — I build complete geospatial systems. My focus is always: - Automation (less manual GIS work) - Scalability (ready for real-world data) - Clean, maintainable code If you need someone who can go from raw geospatial data → production system, let’s talk.