Research and Implementation of LLM (Large Language Models) based Web-Applications using Streamlit/Python: Knowledge-Management and digtal Coaches for UX and Requirements Engineering
Advanced technology development of industrial applications in safety critical systems using Machine-Learning.
Tools used: Python (incl. Numpy, Pandas, Scikit-Learn, ..), TensorFlow, Keras, PyQt, Docker
Topics in Computer-Vision and Machine-Learning. Scientific Assistant at the Institute for Computer Graphics and Vision (Graz University of Technology, Austria)
As a seasoned Product Owner in R&D Software, I excel in leading cross-functional teams to develop cutting-edge solutions in computer vision, machine learning, and embedded systems. With a robust background in C++ and Python software development, I ensure high-quality standards and efficient bug resolution, while managing product backlogs to align with business objectives.
My expertise extends to advanced technology development in safety-critical systems, leveraging state-of-the-art deep learning methods for pattern recognition and data preparation. I have a proven track record in developing feature-engineered algorithms and implementing performance measures, optimizing models for embedded hardware.
I have led technical teams in agile environments, guiding skills improvement and coordinating distributed teams across global locations. My experience includes managing R&D departments, acquiring strategic partners, and optimizing workflows for efficient processing. With a strong foundation in mechatronics and business management, I bring a comprehensive approach to innovation and product development.
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