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Dimitri Schreiter

As a working student at IBM, I am applying my skills and knowledge in data engineering and artificial intelligence to support various projects and initiatives.

Previously, I worked as a data engineer/scientist at E3/DC, a leading provider of renewable energy systems. There, I managed and built databases, optimized data infrastructures, and used machine learning for data analyst. My bachelor’s degree in physics gives me, in addition to my master’s degree in applied Data Science, a solid foundation in scientific and business domains.

I am passionate about gaining insights and driving innovation through data, and I am eager to explore opportunities for collaboration and growth.

Education

  • Master of Science – MS, Applied Data Science
    Georg-August-University of Göttingen
    Thesis: “Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge”
  • Bachelor of Science – BS, Physics
    Georg-August-University of Göttingen
    Thesis: “Interaction Quench in the 3D Hubbard Model with the fermionic truncated Wigner approximation”

Experience

  • AI Engineer/ Client Engineer
    IBM Deutschland GmbH
    Frankfurt am Main
    08/2024 – present
  • AI Engineer/ Client Engineer – Student Worker
    IBM Deutschland GmbH
    Frankfurt am Main
    01/2024 – 08/2024
  • Data Engineer – Part Time
    E3/DC/ HagerGroup
    Göttingen
    10/2022 – 12/2023

Interests

  • Artificial Intelligence, particularly Generative AI
  • Risk Management
  • Data Science / BI
  • Computational Neuroscience
  • Chess
  • Fitness
  • Hands-on Engineering