About me
AI researcher and AI Product Manager with a PhD in Computer Science. Experienced in developing explainable, fair, and trustworthy AI algorithms, with a focus on interpretability and robustness. At Bosch Engineering, contributed to applied AI research and research proposal writing, bridging academic methods and real-world AI systems, with a solid record of peer-reviewed publications and interdisciplinary collaboration.
My passion for AI began during my M.Sc
My passion for AI began during my M.Sc. in Information Technology at the University of Klagenfurt, where I specialized in applied machine learning and AI for intelligent transportation systems.
Currently, I serve on the management board at Bosch, where I explore initiatives AI applications in automotive mobility. My role combines state-of-the-art research and technology with agile development practices enabling rapid prototyping, iterative experimentation, and cross-functional collaboration to drive innovation in automotive technology.
What I do
University of Vienna
my research focused on AI-driven fact-checking specifically the detection of conflicting data and suspicious user behavior using natural language processing (NLP) and logic programming. I have taught AI-related subjects at several universities, including machine learning, data mining, and NLP.
University of Klagenfurt
M.Sc. in Information Technology at the University of Klagenfurt, where I specialized in applied machine learning and AI for intelligent transportation systems.
Bosch
Currently, I serve on the management board at Bosch, where I explore initiatives AI applications in automotive mobility. My role combines state-of-the-art research and technology with agile development practices enabling rapid prototyping, iterative experimentation, and cross-functional collaboration to drive innovation in automotive technology.
Skills
My Experience
2023 - Present
Product Manager
Problem Manager @ Bosch - Automotive Mobility with VW Group & Porsche Managing and resolving complex system issues by leveraging AI-powered analytics, predictive modeling, and data-driven insights. Strong focus on requirement engineering, ensuring clear problem definitions, structured root cause analysis, and optimized solutions for system reliability. Applying machine learning and NLP for automated issue classification, impact assessment, and proactive risk mitigation in software and automotive systems. Collaborating with cross-functional teams in agile environments to enhance system performance and ensure compliance with industry standards.
2021 - 2023
Researcher and Teaching Assistant
Researcher and Teaching Assistant at Vienna University of Economics and Business Vienna University of Economics and Business Administration.
2017 - 2021
Research And Teaching Assistant
Multimedia Information Systems Faculty of Computer Science University of Vienna.