Geospatial software engineer (backend + mobile) who builds software and Earth observation systems that actually ship to production - not just notebooks.
I have a geomatics background and I write real software, so I sit in the gap between spatial data and production systems: collecting it (mobile sensors), processing it (Python / EO pipelines), and delivering it (APIs, dashboards). Strongest on the backend and mobile side, and comfortable across the stack.
π Currently an MSc student in the Copernicus Master in Digital Earth (Salzburg), specialising in Geodata Science & AI for Earth Observation.
πΊ I also teach in public β building geospatial web apps and Earth Observation analysis on YouTube.
Roadessy β an intelligent road-monitoring platform that turns a smartphone into a survey device: it captures road-roughness (IRI) and defect data, syncs to the cloud, and processes it into maps, dashboards, and reports. I built the mobile data-collection app (sensor-based capture) and the Django + FastAPI backends, and deployed the pipeline end to end.
Easy-EO β a Python library for chainable raster processing, algebra, and visualization on top of rasterio and NumPy. Clean EEORasterDataset abstraction, operator overloading for raster math, and a pluggable backend/adapter layer β designed so common EO workflows read in one fluent chain instead of pages of boilerplate.
Geospatial / EO Β· GDAL Β· rasterio Β· STAC Β· xarray Β· NumPy Β· Sentinel & Landsat imagery
I'm open to internships, collaborations, and freelance work in Earth Observation, geospatial data science, and backend / software engineering. Let us talk.


