About Me

I am a PhD student at the TECO research group at the Karlsruhe Institute of Technology (KIT), focusing on deep learning for wearable sensor data. My research explores personalized Human Activity Recognition (HAR) through probabilistic generative models and meta-learning. Previously, I gained hands-on experience in machine learning engineering and software development during roles at prenode and MEHRWERK GmbH, where I worked on projects spanning computer vision, retrieval-augmented generation (RAG), and web-based process mining solutions. I love to delve into machine learning theory and apply it to real-world applications in human-centered sensing, bridging the gap between fundamental research and practical impact. In my spare time, I enjoy playing football, which helps me stay active and maintain a healthy balance between research and recreation.