I’m passionate about on-device machine learning, with my work centered on cutting-edge projects that push the boundaries of technology. I’m particularly focused on developing innovative ML solutions that can be seamlessly deployed directly on devices.

As a machine learning engineer at Flower Labs, I'm developing Flower, a leading Federated Learning framework. My focus is on optimizing FL solutions for on-device deployment, and I’m dedicated to building software with intuitive design and technical excellence under the hood.

Outside my professional work, I enjoy developing aesthetically pleasing websites with excellent user experience. I'm keen on blending functionality with design to create intuitive and visually engaging interfaces. My personal web development projects are Farmily and Traveldigga.

I hold both an M.Sc. and a B.Sc. in Information Systems from the Technical University of Munich (TUM), where my research focused on Federated Learning. My theses explored various aspects of Federated Learning, including different optimization strategies and deployment on mobile devices. Outside my professional life, I’m an avid football player and an enthusiastic cook.