Geospatial Software · Spatial Data Engineering · Remote Sensing · WebGIS · GeoAI

Software & Geospatial Engineer focused on reproducible spatial data systems, automation and open-source geospatial software.

I combine geospatial expertise and software engineering to design tools, pipelines and applications for spatial data processing and analysis.

My main areas of work include:

• Geospatial Software Engineering — GIS automation, spatial processing and geospatial applications
• Spatial Data Engineering — ETL pipelines, spatial databases, data validation and transformation
• Remote Sensing — satellite imagery, raster processing and terrain analysis
• Backend Development — APIs, processing services and geospatial backends
• WebGIS — interactive web mapping and spatial applications
• GeoAI — computer vision and AI applied to geospatial problems

QGIS · GDAL · PostGIS · GeoPandas · Rasterio · Shapely · PyProj · MapLibre

Python · FastAPI · PostgreSQL · SQLAlchemy · Redis · Celery

TypeScript · React · Next.js

Docker · GitHub Actions · Linux

PyTorch · OpenCV · Image Segmentation · GeoAI

A lightweight Python CLI for coordinate transformation, CRS inspection, vector reprojection, geodesic distance calculation and geometry validation.

Built as a tested and reproducible geospatial software package with a clean separation between core functionality and command-line presentation.

Python · PyProj · GeoPandas · Shapely · Typer · pytest · GitHub Actions

Highlights: 20 automated tests · Continuous integration · Python 3.12+ · MIT License · v0.1.0

A Python toolkit for georeferencing raster maps and imagery from ground control points, with affine transformation estimation, residual analysis, RMSE calculation and GeoTIFF export.

Built as a reproducible end-to-end raster processing workflow with GCP validation, least-squares transformation estimation, north-up warping and machine-readable accuracy reporting.

Python · NumPy · Rasterio · PyProj · Typer · pytest · GitHub Actions

Highlights: 34 automated tests · Continuous integration · Reproducible example · JSON accuracy reports · Python 3.12+ · MIT License · v0.1.0

A reproducible Python ETL pipeline for ingesting, inspecting, validating, normalizing, transforming and loading heterogeneous geospatial vector datasets into PostgreSQL/PostGIS.

Built around explicit and independently testable ETL stages, with CRS transformation, schema normalization, Docker-backed PostGIS integration and machine-readable execution reports.

Python · GeoPandas · PostGIS · PostgreSQL · SQLAlchemy · GeoAlchemy2 · Typer · Docker · pytest · GitHub Actions

Highlights: 37 automated tests · Real PostGIS integration · End-to-end GeoPackage → PostGIS validation · Docker Compose · JSON ETL reports · Continuous integration · Python 3.12+ · MIT License · v0.1.0

Automated terrain and hydrological processing from DEM data, including flow analysis, stream extraction and vector network generation.

Python · WhiteboxTools · Rasterio · GDAL · GeoPandas

A spatial backend for querying and processing geospatial data through REST APIs backed by PostGIS.

FastAPI · PostgreSQL · PostGIS · SQLAlchemy · Docker

Interactive web mapping applications connecting spatial databases, APIs and modern web mapping technologies.

MapLibre · React · Next.js · FastAPI · PostGIS

A reproducible workflow for detecting and analyzing changes from multi-temporal satellite imagery.

Python · Rasterio · GeoPandas · OpenCV · Remote Sensing

I'm currently expanding this portfolio with increasingly complete geospatial software systems, with emphasis on:

• DEM and hydrological processing
• Spatial APIs and PostGIS-backed services
• Satellite imagery processing
• WebGIS architecture
• GeoAI and computer vision
• Reproducible geospatial workflows
• Open-source software engineering

I'm open to selected freelance, open-source and collaborative projects involving:

• Geospatial software development
• Python automation
• GIS workflow automation
• PostGIS and spatial databases
• Spatial ETL and data engineering
• Remote sensing and satellite imagery
• WebGIS
• GeoAI
• Open-source development and bounties

I build tested, documented and reproducible open-source geospatial software focused on real-world spatial data problems.

• GitHub: github.com/raphaelperrut
• LinkedIn: linkedin.com/in/raphael-perrut-8b2351323
• Portfolio: Coming soon

Turning geospatial data into reproducible software systems.