Pavel Jahoda

Pavel Jahoda has a diverse work experience in the field of computer vision and machine learning. Pavel started their professional career as a Junior .NET Developer at Atos in 2016. Pavel then joined Czech Technical University in Prague as a Computer Vision Researcher, where they presented a publication at an international conference in China and developed deep learning algorithms that outperformed humans in detecting decision ambiguity from facial images and estimating the age of a speaker from audio. Pavel later worked as a Machine Learning Researcher at the European Space Agency in 2019 and a Computer Vision Researcher at Toyota Motor Europe in 2020. Currently, they are working as a Computer Vision Engineer at sewts starting from June 2023.

Pavel Jahoda completed their Bachelor's degree in the Faculty of Information Technology at Czech Technical University in Prague from 2016 to 2020. In 2019, they also participated in an exchange semester at Nanyang Technological University Singapore, where they studied at the School of Computer Science and Engineering for a brief period. Currently, they are pursuing a Master of Science (M.Sc.) degree in Data Engineering and Analytics at the Technical University of Munich, which they are expected to complete in 2023.