At Danish Renewables (Solar Green Field Developer) I was initially hired to find a GIS database solution. The team used Google Earth which cannot synchronize between team members, so files were shared by mail and everyone had duplicated and inconsistent data. After familiarizing myself with their screening process I started developing a tailored web solution using Postgres with PostGIS and Express Node.js backend, with a frontend in React using Leaflet, and I was since hired to continue to do geospatial data analysis, green field screening and to add features to the web tool. Currently working on setting up an end-to-end ML pipeline for object detection in satellite imagery using Pytorch and OpenCV.

Development of whole machine learning pipeline (classification of mold growth on microscopy imagery) from scratch using Python, PyTorch and NextJS, including two annotation tools, one for pre annotation and one for post annotation (human expert confirmation of model predictions).

- Programming an internal inventory of equipment and employees for the company's website. - Setting up computers with antivirus and email clients. - Sketching website layouts for a project Grupo Vitek did for UDEM (University of Monterrey).