About me

I am a PhD student at the University of Rostock, researching Large Language Models, Multimodal AI, and spatial reasoning. My current work focuses on tool-augmented LLMs, generative methods, and AI systems for BIM, CAD, and structured 3D building data.

Why this blog

I created this blog to make machine learning and AI concepts easier to understand through interactive visualizations. I have always found that algorithms become much clearer when you can see them working step by step.

Each post is built to be visual, practical, and easy to experiment with. The demos run directly in the browser, mostly using pure JavaScript, with no servers or heavy dependencies. The goal is to create a small open collection of interactive explanations that others can use, modify, and learn from.

The idea for these blog posts are inspired by many interactive websites, including the ones in this curated list of interactive AI and math websites. Creating high-quality interactive posts takes time, but I enjoy building them and plan to keep adding more in my free time. Everything is open sourced in the repository. Contributions are welcome, and you are free to use it, fork it, and learn from it.

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See the README for contribution guidelines and license details.