Summary
Timo Pröscholdt is a computer scientist and scientific officer with 13 years of experience applying machine learning, databases, and geospatial systems to international meteorological programs. At the World Meteorological Organization he architects and manages large-scale information systems—bringing together Oracle, PostGIS, Hadoop and J2EE stacks—to turn global observing system data into actionable insights and decision support. He combines hands-on prototyping (Django, Tableau) with requirements engineering and user training, regularly translating community needs into deployed solutions across UN initiatives. His background includes academic research in subspace clustering and webservice orchestration, reflecting a strong foundation in both theory and applied engineering. Based in Geneva, he pairs technical depth with project leadership, often acting as the bridge between meteorological experts, partner organizations and implementers. An uncommon strength is his track record of building geospatial monitoring prototypes that integrate legacy enterprise systems with modern big-data tooling.
13 years of coding experience
7 years of employment as a software developer
Master's Degree, Philosophy, Master's Degree, Philosophy at The Open University
Computer Science, Machine Learning, Computer Science, Machine Learning at Universitat Autonoma de Barcelona
Master of Computer Science, Networking, Software Engineering, Databases and Machine Learning, 1.5, Master of Computer Science, Networking, Software Engineering, Databases and Machine Learning, 1.5 at Ludwig-Maximilians Universität München / University of Munich
Käthe Kollwitz Gymnasium
English, French, Spanish, German, Arabic