Laurenz Farthofer

PHD Student at Infineon Technologies

Villach, Carinthia, Austria
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MSc, Artificial Intelligence, Master of Science - MSc, Artificial Intelligence at Johannes Kepler Universität Linz
bookBachelor of Science - BS, Systems Engineering, Bachelor of Science - BS, Systems Engineering at FH Kärnten
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technische Universität Graz
languagesGerman, English, Spanish
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Github Skills (27)

function-composition9
classification8
pytorch-lightning8
hydra7
adversarial-attacks7
project-structure7
automl7
python7
data-structures6
machine-learning6
algorithms6
pytorch6
data-generation6
journal6
creative-commons5

Programming languages (4)

RustTeXMATLABPython

Github contributions (5)

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Infineon/StreamGen

Aug 2024 - Mar 2026

Python framework for generating streams of labeled data.
Contributions:7 releases, 54 pushes, 9 tags in 1 year 7 months
pythoncontinual-learningdata-generationdata-streamsdata-structures
LaurenzBeck/ophthalmology

Oct 2021 - Sep 2022

Contributions:85 commits, 76 pushes, 2 branches in 10 months
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