I build intelligent systems that bridge AI and geospatial science — from satellite imagery analysis to real-time computer vision pipelines.
- Geospatial AI — Developing ML pipelines for satellite data (SWOT, Sentinel, Landsat) and UAV imagery
- Computer Vision — Real-time object detection, tracking, and 3D scene understanding
- LiDAR & 3D Vision — Point cloud processing, infrastructure detection, and spatial analysis
- Cloud-Scale Processing — Building production systems on AWS, GEE, and distributed architectures
Languages — Python · R · JavaScript · SQL . CSS . HTML
Geospatial — GDAL · GeoPandas · Rasterio · Shapely · ArcGIS · QGIS · PostGIS
ML/DL — PyTorch · TensorFlow · Scikit-learn · YOLO · SAM · TensorRT
Cloud — AWS · Google Earth Engine · Docker · REST APIs
Web — React · Node.js · Flask · Django · Leaflet · Mapbox
- 🎓 PhD Candidate in Geomatic Engineering @ Université Laval
- 🔬 Research Affiliate @ University of Cambridge
- 📄 9+ Peer-Reviewed Publications (IEEE, Remote Sensing, ISPRS)
- 🏆 Prix d'excellence Gérard-Lachapelle Award Recipient
Open to collaborations in geospatial AI, remote sensing, and computer vision research.