Summary
Paul Elvers is Head of AI based in Hamburg with eight years of experience building scalable machine learning and big data solutions across industry and research. Google Cloud–certified in ML and Data Engineering, he has delivered production systems in areas from computer vision and recommendation engines to cost optimization and forecasting using tools like TensorFlow, PyTorch, Spark, Dask, Prefect and Airflow. He combines a strong statistical and academic background—Dr. Phil. studies in Systematic Musicology and postdoctoral research modeling cognitive behavior—with hands-on cloud engineering at companies such as Tchibo, Smartclip, Datadrivers and now FUNKE. An experienced team leader and podcast host on AI topics, he bridges research rigor and product-focused delivery while championing reproducible, open-science practices. Notably, his career blends peer-reviewed research and publications with pragmatic MLops expertise, making him adept at turning complex longitudinal and behavioral models into operational AI products.
8 years of coding experience
6 years of employment as a software developer
Visiting Research Fellow, Visiting Research Fellow at University of Oxford
Dr. Phil. Systematic Musicology, Dr. Phil. Systematic Musicology at Goethe University Frankfurt
M.A. Systematic Musicology, M.A. Systematic Musicology at University of Hamburg
German, griechisch, alt (bis 1453), French, English