Josip Krapac is a highly educated and experienced computer scientist, currently working as an Applied Science Manager at Zalando SE. With a Master's and Ph.D. degree in Computer Science from the University of Zagreb and Université De Caen Normandie, respectively, he has worked extensively in research and development in the field of computer vision and machine learning. He has held various positions before joining Zalando, including Senior Applied Scientist at Zalando, Senior Research Scientist at Mobius Labs, and Research and Development Engineer at Eyeem.

Josip's expertise lies in developing algorithms for object recognition, object detection, and image segmentation, especially in the context of retail industry applications. His passion for using computer science for practical purposes has driven him to work on numerous projects, from those researching visual and auditory cues for predicting consumer behavior to improving automaker's management of the supply chain road transport. He also has a rich background in academia, serving as a Post-Doc at Inria and Fer and former Ph.D. Graduate Student at Université De Caen Normandie.

Overall, Josip Krapac has a wealth of knowledge and experience in the fields of computer science, machine learning, and computer vision, and he continues to shape the industry's future.