ETH Zürich
MSC, Mechanical Engineering
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I currently have no direct professional experience in data labeling or AI training-data workflows. However, a large part of my academic and professional work has involved structured data analysis, technical classification, and pattern recognition across engineering problems. For my bachelor thesis, I performed a qualitative analysis of how semiconductor companies responded to the end of Moore’s Law, based on press releases and public company communication. During my MSc, I worked on climate-zone and energy-demand pattern clustering for multi-energy system optimisation. In my work in carbon capture and CCUS, I have also regularly analysed process equipment behaviour, operating trends, project risks, and technical feasibility. This gives me a solid basis for reviewing technical content, identifying inconsistencies, and providing precise feedback where engineering judgement is required.
MSC, Mechanical Engineering
Specialist CCUS/Decarbonisation