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]

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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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. [Read More]

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