Project Management, coordination of multiple concurrent innovation projects with stakeholders.Responsibility for budget planning and stakeholder management. Supervision of project teams and guidance on methodological and technical level.Ideation and evaluation of novel potential high-impact ideas for emerging present and future challenges.

Master thesis in AI/ML, computer vision and robotics/automation at ETH Zürich's Feasibility Lab with a focus on developing innovative products and solutions as part of the Bühler Exploration Lab.Final awarded Grade 6.0 out of 6.0- Developed a time-series deep learning model for food quality forecasting based on measured process parameters, ensuring production consistency and enabling further development of optimization models.- Integration of AI-enabled speech-to-text and LLM-based auto-summarization to extract key insights and action items from meetings, enhancing meeting productivity and decision-making processes. - Automating plant asset management via Deep Learning (LSTM) based OCR, accelerating accurate controlling of production plant schematics by reducing the workflow time by 98%.- Deploying advanced AI, leveraging RAG for LLM-based models, for both direct customer assistance and collaborative support with global, service and support teams, enhancing issue resolution efficiency and quality. - Employing computer vision for real-time food production tracking, enabling the optimization of manufacturing processes and ensuring quality control.- Developed a custom computer vision classifier using ML to detect and differentiate 4 different quantitative differences in a raw food product during primary processing. - Engineered a portable, compact machine for rapid raw food quality assessment, matching the performance of on-site industrial machines in a vastly smaller form factor.