Summary
Laurenz Farthofer is a PhD student and deep learning researcher with a decade of hands-on experience building embedded and backend systems, now investigating Continual Learning, Self-Supervised Learning and Domain Adaptation at TU Graz and Infineon. He holds an MSc in Artificial Intelligence with a specialization in Embedded Intelligence and Signal Processing, and his master’s work explored Contrastive Deep Learning for computer vision. Laurenz blends research rigor with production software skills gained shipping backend services, RTOS components, and AWS-based IoT solutions, and he enjoys learning modern languages and frameworks. He contributes to open source and retains a practical focus on sparsely labeled wafer test data and industrial ML problems, bringing uncommon cross-domain fluency between embedded systems and cutting-edge ML research.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MSc, Artificial Intelligence, Master of Science - MSc, Artificial Intelligence at Johannes Kepler Universität Linz
Bachelor of Science - BS, Systems Engineering, Bachelor of Science - BS, Systems Engineering at FH Kärnten
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technische Universität Graz
German, English, Spanish