I am an experienced Python developer with a passion for language applications. I enjoy creating tools that facilitate processes, be it a machine translation workflow for a language provider or refactoring a framework for scientific evaluation of large language models. In this, my strong communication skills are a valuable asset in understanding stakeholders needs and in presenting results to colleagues, customers or the scientific community.

I have always been fascinated by languages, which led my to the field of Computational Linguistics (prior to ChatGPT, topics of interest were spelling correction, statistical machine translation, sentiment analysis and a lot of parsing).
After finishing my Bachelor, I gained work experience in a translation company figuring out how machine translation research can be applied to the “real world” in order to actually assist human translators.
The rise of artificial neural network models brought me back to university and I completed my Master at the LMU in Munich while working at the Munich Center for Machine Learning on representation learning for natural language, supervised by Hinrich Schütze.
Following my roots back to Berlin, I spent some time as a Research Associate in the the colabPotsdam, led by David Schlangen, where I spent my time researching, reviewing, writing, programming, teaching programming, organising and giving workshops on programming (with a focus on Deep Learning/LLMs).