Welcome to my website!

I like to work on the border between the physical and the digital world. You’ll see me programming, 3D printing, or actually building, funny interactions and cool effects. Have a look at some of my coding projects, or things I’ve built. Many of my coding projects are also available on my GitHub, and some of my physical projects are available on Thingiverse.

If you’re interested in my professional history, you can have a look at my CV or my profile on LinkedIn or XING. If you just want to play around, why not check out the pages with interactive content! If you want to read more about me, you can do so here as well.

Next to portfolio and CV, I also host the Scipy Landing Page here, and I write some small tech posts - mostly stuff that I would have been glad to have found with Google.

Latest physical projects

  • The Confessional

    A confessional box at Walden Festival 2026 where visitors confess their sins to a local AI priest, who grants absolution - and forwards the sins, anonymized and retold in an angel’s voice, to the Holy Toilet.

  • The Palapian's Spaceship

    An interactive, networked spaceship you can actually board: players complete (or sabotage) missions across a dozen physical interfaces - buttons, joysticks, LED boards, sensors, etc - to either launch the ship or doom it, with everything driven by a Python/ESP/Unity stack. It’s modular, auto-resets regularly, and scales to festival crowds without manual babysitting.

  • Tux-Kart with Real-Life Powerups

    Festival Installation where two people play OSS-Mariokart, but instead of Koopas the in-game items squirt water or fog at the opponent or hit with the Poolnudelschlagapparat.

  • CAD and 3D-Printing

    Having learned my ways on Theseus’ Anet A8 and now running a boringly reliable Bambu P1S, I use 3D printing and self-taught CAD as basic infrastructure for most of my hardware projects, some of which are listed here.

👉 More physical projects

Latest digital projects

  • Paper-Code Matching with Repository-Level Code Embeddings

    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.

  • Automatic Meal Recognition

    An automated self-checkout system that recognizes meals on canteen trays using machine learning.

  • Siddata Study Assistant

    A data-driven study assistant with machine learning recommenders, and a Django backend that I restructured, containerized, and made easily deployable.

  • Masterthesis: Explainable Course Recommendation

    For this thesis, I created a Conceptual Space from Course Descriptions for explainable Recommendation, in a highly performant pipeline on the university-grid.

👉 More digital projects