Software Engineer passionate about smart code and high mountains.
I'm into deep learning and developing new AI applications in the field of computer vision. Always eager to advance myself in professional software development and keeping up with the latest machine learning technology. After my bachelor's degree in Business Information Systems I worked for three years developing an international e-commerce platform. In 2021 I accomplished my Computer Science master's with a focus on the security of deep learning.
I have gathered great experiences on my first big mountain project, the Kilimanjaro, as well as from multiple alpine climbing, paragliding and skiing tours across the alps.
Deep Learning Engineer • Innsbruck, Austria • 2021 - present
Deep learning for object detection, text recognition and classification in traffic domain.
Student Assistant • Innsbruck, Austria • 2019 - 2021
Research on the security of machine learning models
Software Engineer • Innsbruck, Austria • 2018 - 2019
Developing applications for digital voice assistants
Software Engineer & Consultant • Hof, Germany • 2016 - 2018
Developing a B2B e-commerce web application
M.Sc. in Computer Science • February 2021
Graduated with 1.3 / A
Thesis: "Evaluating the Security of Neural Networks on a Defense Against Adversarial Examples"
B.Sc. in Information Systems • December 2015
Graduated with 1.6 / A
Thesis: "Application Performance Management by the Example of the REHAU Customer Portal"
I have successfully developed and maintained a deep learning framework for an internationally operating startup. Models for detection, classification and optical character recognition are trained on a multi-GPU setup based on PyTorch. The pipeline integrates a data labeling platform, various training and test metrics and debugging options, network architecture search and automatic hyperparameter optimiziation. After training on premise or cloud machines models are optimized for the efficient use on NVIDIA edge devices.Deep Learning
The scientific paper on the security of deep machine learning models is co-authored by Univ.-Prof. Dr. Rainer Böhme and Dr. Cecilia Pasquini. I contributed to the setup and execution of experiments, evaluated the results and drafted the writeup. The paper was published in Proceedings of the 2020s Workshop on Information Hiding and Multimedia Security and was a major part of my masters' thesis at the University of Innsbruck.Academic, Deep Learning
#RelatedToAustria is an interactive city tour guide that offers two different tours in Vienna and NYC to learn more about Beethoven. It is optimized for the Bose Frames and offers a special 360° sound experience. I developed and published the iOS app in cooperation with Tourism Austria and Speed U Up in around three months.
The project was awarded with the Golden Award of Montreux and an EFFIE Gold Award.
I supported the project to develop an e-commerce platform for REHAU US as a technical project lead. In the six-months project (three months on-site in Leesburg, US) I was advising the concept, supporting the coordination with the external development team from India and writing automated tests for quality assurance. The project went live in May, 2018.E-Commerce, Consulting, QA