Rahel Beloch is a Data Scientist with a decade of software and machine learning experience, currently applying advanced time series forecasting to optimize supply chain operations at REWE Group. Trained with an MS in Artificial Intelligence from the University of Amsterdam, she has research experience in interactive language modeling and meta-learning on graphs, with thesis supervision from Meta AI and UvA researchers. Earlier roles at fileee saw her lead a reimplementation of document classification and NER pipelines using BERT and LayoutLM, turning non-neural systems into high-performing, production-ready services. Comfortable across the ML lifecycle and cloud-native, she combines software engineering rigor with applied NLP expertise to ship scalable AI solutions. Outside work she balances analytical thinking with creativity and risk—she’s an avid dancer, bike racer, and motorcycle enthusiast.
Bachelor of Science (B.Sc.), Medieninformatik, Grade: [GER] 1.5, [NL] 8.5 - [ECTS] A, Bachelor of Science (B.Sc.), Medieninformatik, Grade: [GER] 1.5, [NL] 8.5 - [ECTS] A at Hochschule RheinMain
Digital Shaper Program: Track Artificial Intelligence, Digital Shaper Certificate, Digital Shaper Program: Track Artificial Intelligence, Digital Shaper Certificate at TechLabs
Master of Science - MS, Artificial Intelligence, Grade: [NL] 8.5 - [ECTS] A, Master of Science - MS, Artificial Intelligence, Grade: [NL] 8.5 - [ECTS] A at Universiteit van Amsterdam
A project during my Master studies at UvA in cooperation with Ekaterina Shutova and a team from Facebook AI Research.
Contributions:12 PRs, 912 pushes, 48 branches in 2 years 7 months
deep-learningmastermachine-learninguvafacebook
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