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