Tamas Foldi developed a GPS Map View Visualization for the rerun-io/rerun repository, enhancing the Nuscenes Python example to log and display GeoPoints derived from ego pose and location on an interactive map within the Rerun viewer. He implemented a dedicated GPS coordinate derivation module in Python, updated the main script to integrate geospatial data processing, and revised documentation to support reproducibility. By focusing on data visualization and geospatial data handling, Tamas enabled more effective exploration and debugging of GPS-related pipelines. The work demonstrated solid depth in Python development and contributed to improved workflows for location-aware dataset analysis.