Finn Hertsch is a student of Data Science & Artificial Intelligence at DHBW Ravensburg in cooperation with Waldner in Wangen im Allgäu, researching efficient recommender systems and online learning. His work focuses on the practical implementation of numerically robust bandit algorithms, Matryoshka Representation Learning, and high-performance architectures under extreme data and latency constraints.