Alexander Isenko received the B.Sc in Media Informatics with a UX minor and the M.Sc in Informatics from the Ludwig-Maximilians University (LMU) Munich. During his studies, he worked at multiple IT consulting companies focusing on general Machine Learning applications.
In parallel, he participated in the Formula Student competitions with the University of Applied Sciences (UAS) in the Driverless category. With his team, municHMotorsport, he designed the software stack, sensor processing, and SLAM system from scratch, which resulted in his master thesis.
His research interest is in improving the performance and resource utilization of large-scale Deep Learning systems.