Vienna, Vienna, Austria
With a genuine interest in IT, I have been able to start my a career focusing on automotive embedded systems. I obtained my PhD in Computer Science from the Technical University of Vienna, a journey that has provided me with a deep understanding of this field. I have spent 12 years working in the automotive industry with companies like DECOMSYS and Elektrobit. Following this, I transitioned back into the startup sector, contributing to twingz and GREX Professional Makers. In this capacity, I have had the chance to acquire practical skills in machine learning and deep learning. My professional journey also includes an educational aspect, as I've been sharing my knowledge as a lecturer at several Austrian universities (FH). Here, I've taught subjects such as distributed real-time systems and machine learning. In 2018, I was part of the founding team for AI Austria, a non-profit organization aimed at promoting the growth of machine learning and AI in Austria. One of the highlights of my time with AI Austria was the curation of the AI Academy of the WIFI Niederösterreich. I maintain a keen interest in machine learning and AI, believing in their potential to bring about significant changes in the coming years. I continue to look forward to learning, contributing, and growing within this evolving field. Starting with 2023 I am offering specialised AI trainings for companies and organisations.
Supervision of the development of new machine learning models for damage prevention and condition monitoring for real-estate (water, electricity) and industrial (electricity) installations. Requirements engineering and architecture for the software embedding of machine learning models. Development of state representation models for industrial machinery based on the electrical consumption data.
Concept and implementation of machine learning algorithms for predictive maintenance and energy disaggregation.
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FH St Pölten, Machine Learning as specialization in Smart Production program.