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Teaching Assistant for CAS in Data and Machine Learning

Overview #

Supported three courses within ETH’s CAS in Data and Machine Learning program over three semesters, working directly with professionals returning to study machine learning and compute science, from business-oriented discussions of AI and IT, through a theoretical grounding in computer science, to hands-on applied ML tooling.

Key contributions #

  • Designed lecture materials and paper exercises for the course AI and IT in Industry, and conducted oral assessments for 25 participants.
  • Designed and implemented a pipeline to automate the generation and evaluation of exercises for the course Information Data and Computers. See more project details here
  • Created a larger ML project for the course Building AI/ML Applications using a RAG system built on publicly accessible Swiss law and case documents. See more project details here
  • Provided general support and assistance to help participants deepen their understanding of the lecture material and computer science more broadly.