Data Science

In this (german-language) episode of Code for Thought, Carina Haupt (DLR) and I talk with host Peter Schmid about large language models in Research Software Engineering: where tools like Copilot genuinely help (routine tasks, tests, small scripts), and where real-world projects expose their limits (builds, requirements, missing project context). I share my current work on matching papers to repositories via embeddings at the project level rather than just functions - so models carry meaningful context across an entire codebase. [Read More]

VisoLab is a startup that creates automated self-checkout registers for canteens, where the meals on the tray are recognized on on edge via an iPad, allowing the customer to pay for their meals within seconds without requiring an employee.

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In this student research job for the Red Hen Lab, I worked on a pipeline that automatically detects hand gestures in large datasets of videos, involving OpenPose for Pose Recognition, Person detection, Person tracking, Scene detection and more, and deployed it on a HPC using Snakemake and Singularity to create a multimodal communication corpus from the Ellen DeGeneres show. [Read More]

An automated pipeline to split a bunch of scanned pages into single documents [Read More]