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Harsh Shah is a Machine Learning Engineer at paragon semvox GmbH since January 2023, with prior experience as a Data Science Researcher/Data Scientist at Heinz Nixdorf Institut, where research focused on data-driven solutions utilizing natural language processing and machine learning. Harsh's academic journey includes a Master of Science in Computer Science from Paderborn University and a Bachelor of Technology in Computer Engineering from Indus University. The master thesis involved optimizing automatic textual snippet generation for an argument search engine, achieving a 9% accuracy improvement over previous methods. Harsh has a background in data extraction analysis and benchmarking, as well as application development for both Java desktop and Android applications, demonstrating a strong foundation in various programming and machine learning techniques.