Summary
Priyash Bhugra is a Senior Geospatial Analyst and Machine Learning Engineer based in Berlin with 9 years of experience applying deep learning to satellite imagery and autonomous vehicle domains. He holds an MS in Artificial Intelligence from TU Kaiserslautern and has delivered production-focused workflows for multi-temporal LULC classification, change detection, and drift-aware model monitoring. His background spans research-grade object and point-cloud detection—achieving state-of-the-art results on traffic sign benchmarks—and practical engineering using Python, GDAL/rasterio, Mapbox, and adversarial techniques for synthetic satellite data. Priyash blends academic rigor with hands-on systems work from early Java web and IAM roles to deploying scalable geospatial ML pipelines, and he often leverages 3D data augmentation (Blender) and particle-filter integration to improve tracking and small-object detection.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Kaiserslautern
Bachelor of Engineering - BE, Computer Science, 7.93, Bachelor of Engineering - BE, Computer Science, 7.93 at LNCT Group of Colleges
English, German, Hindi