Picterra

We are building a geospatial machine learning platform that allows users to detect any kind of object and train their own Deep Learning model in the cloud using an intuitive UI. That means we get to tackle interesting problems on a daily basis; from processing and visualizing large amounts of geospatial data to dynamically managing GPU workers, while exposing this to our users in a collaborative and intuitive web interface. Our tech stack is Python/Django/Postgres on the backend and Vue on the front-end. We’re using PyTorch for our Deep Learning algorithms and deploy on Google Kubernetes Engine. We are working with geospatial data, so we are heavy users of GDAL, Mapbox, Leaflet, QGIS, and other GIS tools.