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Sarah Hashmi is a researcher at the Department of Data Management and Data Science Laboratory at TU Berlin. Her research interests are centered around building machine learning systems and tools that simplify the data science lifecycle, which includes aspects such as data integration, model training, deployment, and scoring. Hashmi is committed to advancing the methodologies employed in machine learning by leveraging high-level language abstractions and specialized compiler runtime techniques. She engages in cross-organizational research initiatives that unite high-caliber professionals from academia and industry, aiming to enhance the landscape of big data engineering.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.