As a Deep Learning Engineer at Hi-D Imaging, I apply my machine learning expertise and my electrical engineering background to develop innovative solutions for medical imaging and diagnosis. I graduated with a Master's degree in Electrical Engineering and Information Technology from ETH Zürich, one of the world's leading universities in science and technology, where I acquired advanced knowledge and skills in artificial neural networks, signal processing, and neural architecture search. Prior to joining Hi-D Imaging, I gained valuable experience as a research intern at Umram and Fraunhofer IIS, where I worked on projects related to magnetic particle imaging (MPI) and indoor positioning systems. I am passionate about using deep learning to improve the quality and accuracy of medical imaging and to enable new applications and insights in healthcare.