I am passionate about working with data and teams, particularly in the fields of geoinformatics and remote sensing. My educational background in geography and geoinformatics intersects with remote sensing, photogrammetry, machine learning, and computer vision.

For my PhD thesis, titled "Automating Image-Based Cadastral Boundary Mapping," I developed an approach that simplifies land rights mapping by extracting visible cadastral boundaries from remote sensing data. This tool integrates image analysis, machine learning, and GIS functionalities.

In February 2020, I joined Netze BW in the energy and utilities sector as an IT Business Analyst. Since December 2021, I have transitioned to the innovations team at Netze BW. In my current role as a Product Owner, I am responsible for digital vegetation management. I have successfully developed and rolled out two innovative technologies: a web GIS tool that allows technicians to document vegetation management tasks directly in the field, and regular LiDAR surveys that automatically identify and predict critical vegetation. These solutions have significantly enhanced our operational efficiency and precision.