Welcome
IT-Consultant & Machine-Learning Enthusiast

Illustration of a mechanical keyboard

Hi, I'm Nicolas! I'm a computer science student passionate about how robotics, machine learning, and graph theory come together. This site is where I share my projects, research, and thoughts.

My Master's thesis at TU Darmstadt is all about Geometry-aware Behavioral Cloning using Graph Neural Networks – essentially, teaching robots complex behaviors with GNNs. I'm really lucky to be working under the guidance of Vignesh Prasad and Georgia Chalvatzaki. On the professional side, I'm also an IT-Consultant for Oracle database development at DB Systel.

View My Projects

When I'm not diving into code or research, you'll find me exploring new music, collecting mechanical keyboards, and generally geeking out over the latest in robot learning and agentic AI.

Feel free to check out my Projects, browse my Blog posts, or take a look at my Reports to learn more about what I do.

Recent Blog Posts

Graph Convolutional Neuralnetworks

In this guide, I will explain how basic graph convolutional neural networks operate on graph-structured data.

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Notes on Heterogenous Graphs - PyTorch Geometric

In this guide I will share my insights that I gained while working with heterogenous graphs in PyTorch Geometric

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Teaching Robots to Build: Our Latest Research on Automated Assembly

A look into our new approach for automating construction with self-interlocking blocks and robotic arms.

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