Summary
Fabian Beringer is a Junior Data Engineer with nine years of hands-on experience and an M.Sc. in Informatics from Leibniz Universität Hannover, combining strong software engineering foundations with a focus on data engineering and machine learning. He is proficient in object-oriented development with Python and Kotlin and routinely builds experiments, training pipelines, and models using the Python data science stack (NumPy, Pandas, PyTorch/Lightning, TensorFlow/Keras, scikit-learn). During his master’s he specialized in NLP and deep learning, culminating in a thesis investigating large neural language models for information retrieval, with code and experiments published on GitHub. At smartsteuer GmbH he applies research-driven practices to production data workflows, bridging academic rigour with practical engineering. Colleagues value him for turning complex ML research into reproducible pipelines and for a clear appetite to operationalize models end-to-end.
9 years of coding experience
Bachelor of Science - BS, Informatik, 2.5, Bachelor of Science - BS, Informatik, 2.5 at Leibniz Universität Hannover