VisioLab is a startup that creates automated self-checkout registers for canteens, where the meals on the tray are recognized on on-device via an iPad, allowing the customer to pay for their meals within seconds without requiring an employee.
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The Siddata project developed a digital study assistant that helps students find relevant courses, learning resources, and study partners using personalized recommendations. I developed machine learning recommenders and worked extensively on its Django backend, turning a research prototype that previously took days to deploy into a containerized, tested, and easily deployable system. My masters thesis was also conducted in the scope of this project.
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As a student research assistant at the Red Hen Lab, I worked on a video-processing pipeline for automatic gesture analysis in large video corpora. My work involved person tracking and identification using face recognition, shot segmentation, and deploying the pipeline on an HPC cluster using Snakemake and Singularity.
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An automated pipeline to split a bunch of scanned pages into single documents
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