At Zugvögel Festival 2026, our floor became a church - and what is a church without a confessional? So I built one: a wooden confessional box where festival visitors confess their sins to an AI priest, who teases the juicy details out of them, grants absolution, and then sends them onwards to the Holy Toilet - where their sins, anonymized and retold in an angel’s voice, are played back to whoever is enthroned there at the moment.
[Read More]
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]
During my discontinued PhD at DLR, I developed and trained a graph neural network to combine code embeddings into repository-level representations and align them with scientific publications. Preliminary evaluation showed a promising improvement over pooling baselines, as a first step towards finding related implementations and their underlying assumptions across research fields.
[Read More]
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.
[Read More]
A speech-controlled meditation assistant and sentiment tracker
[Read More]
An automated pipeline to split a bunch of scanned pages into single documents
[Read More]