Sebastian Jüngling is a skilled data engineer and software developer with experience in backend development using Python and Django, as well as expertise in data analysis, data mining, and machine learning engineering from roles at circular.fashion and Fraunhofer FOKUS. At circular.fashion, responsibilities included data management with MongoDB, dataset preparation for computer vision tasks, and deploying machine learning models on Kubernetes. Previous experience at Fraunhofer FOKUS involved data analysis and the development of ETL data pipelines utilizing airflow, while a role at Helmholtz-Zentrum Potsdam focused on geodata processing and visualization. Sebastian Jüngling holds a Bachelor of Science in Applied Computer Science from Hochschule für Technik und Wirtschaft Berlin and completed vocational training as a geomatician at Helmholtz-Zentrum Potsdam.
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