Hi there,

This is my Blog/Projects Page where I show a selection of my projects and write about topics that interest me. Feel free to look around and contact me if you have any questions.

LLMs (Large Language Models) are powerful tools. For many individuals, verbalizing desires is often more straightforward than navigating a complex GUI. I used the "Building LLM-Powered Apps" Course [1] as an opportunity to replace our traditional track building system with a human language prompt.

DAP is a ground-breaking system for learning distributed asynchronous policies. Born out of my master's thesis and fuelled by my passion for Multi-Agent Reinforcement Learning (MARL) it is the first and so far the only system for learning Asynchronous Policies with Gradients. Imagine a Distrubuted Algorithm with message gradients.

Buckle up for a wild ride! 🎢 Anyone can access more than 5 million connections that users have searched on the SBB app, and these records go back to 2019!

“Too good to go” concept for construction industry?🏡 How does that work exactly?🤔

This project is for the Deep Learning course 2020 at ETHZ and is based on Convolutional Occupancy Networks

A representative example of a cosmology image (left). Setting all pixels with higher-than-average brightness to white reveals a complex structure that is undetectable by means of visual inspection (right).

In this article, I am featured as the main character. The article discusses my participation in Hack Zurich, the largest hackathon in Europe, where I, along with 590 other participants, spent a weekend working intensively on various projects. The article highlights my dedication and the overall experience of being part of such a significant event.

You can read the full article here.

A great win where we programmed the future if drones and a scalable highway system. Of course we tested it by flying multiple drones at the same time.

My hackathon career truly began after participating in the first-ever Polyhack. This experience paved the way for us to showcase our machine learning skills at the Roche & EESTech Hackathon. Our team excelled in the challenge, ultimately winning the competition. This victory allowed us to represent Switzerland in the finals held in Serbia.

You can read more about the event here.