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Sebastian Jüngling is a skilled data professional with significant experience in data engineering, software development, and data science. At circular.fashion, from December 2020 to March 2022, Sebastian specialized in backend development using Python and Django, data analysis, web and API crawling, data management with MongoDB, computer vision dataset preparation for Fashion AI, and machine learning engineering using Kubernetes and Kubeflow. Prior to this, from April 2019 to September 2020, Sebastian served as a data scientist at Fraunhofer FOKUS, focusing on data analysis and machine learning with open data, as well as developing ETL data pipelines using Airflow. Earlier experience includes a role as a geoinformatiker at Helmholtz-Zentrum Potsdam, where responsibilities included geodata processing, analysis, visualization, and the creation of geo web applications. Sebastian holds a Bachelor of Science in Applied Computer Science from Hochschule für Technik und Wirtschaft Berlin and completed an Ausbildung in Geomatiker at Helmholtz-Zentrum Potsdam.