Summary
Danu Caus is an Artificial Intelligence Engineer based in Hamburg with a decade of experience building ML and research software for Earth sciences, remote sensing, and audio-visual signal processing. He has led engineering efforts and taught Generative AI workshops for Helmholtz AI, bridging practical deployments and academic research. His background blends a Master’s in Artificial Intelligence with hands-on roles from Airbus full‑stack development to production ML at Deutsches Klimarechenzentrum and now Helmholtz-Zentrum Hereon. Skilled in computer vision, sequence analysis, CNNs/RNNs and satellite data processing, he also acts as an ML/AI consultant, which highlights his talent for translating scientific problems into deployable models. A less obvious strength is his repeated crossover between teaching, team leadership and engineering, enabling effective knowledge transfer in complex interdisciplinary projects.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Hamburg
Economics, Economics at Academia de Studii Economice din Moldova
Bachelor of Engineering - BE, Information Engineering, Bachelor of Engineering - BE, Information Engineering at Hamburg University of Applied Sciences
Romanian, English, Russian, German