I am finished PhD in the field of machine learning and robotics at a joint program between the Max Planck Institute and TU Darmstadt. My research interests include time series modeling and forecasting, probabilistic methods for machine learning, robotics and real time systems. During my PhD, I worked on a robot table tennis setup. My research projects include imitation learning (Learning from human demonstrations), developing the real time vision system of the robot and time series modeling of the ball and robot trajectories. After finishing my PhD, I started to explore the field of TinyML: Machine learning on resource constrained devices such as microcontrollers or small processors. I would like to help machine learning algorithms to impact positively the life of people, with devices that are low cost but still capable of producing useful information to its users from sensors like accelerometers.