Till Wenke is a data scientist and advisor based in Zurich with eight years of experience applying machine learning across industry and the public sector, from time series forecasting to generative voice and text. Currently pursuing an M.Sc. in Data Science at ETH Zürich, he has built production-oriented solutions and evaluation pipelines for retrieval-augmented generation and cross-hospital model validation. His background includes top-ranked academic performance in IT-Systems Engineering and design thinking at Hasso Plattner Institute and practical research and tutoring in probabilistic machine learning. Comfortable bridging research and deployment, Till combines rigorous evaluation practices with a knack for making ML systems robust across heterogeneous real-world data sources.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, IT-Systems Engineering, 1.1 (With Distinction) [German grading] - top 5% of the class, Bachelor of Science - BS, IT-Systems Engineering, 1.1 (With Distinction) [German grading] - top 5% of the class at Hasso Plattner Institute
Master of Science - MS, Data Science, Master of Science - MS, Data Science at ETH Zürich
Study abraod, Computer Science, Study abraod, Computer Science at University of Tartu
Abitur (A-level equivalent), 1.0 [German grading] - top of class, Abitur (A-level equivalent), 1.0 [German grading] - top of class at Pestalozzi Gymnasium, Dresden
Project repository for Intelligent Transportation Systems course.
Contributions:2 reviews, 2 PRs, 3 pushes in 1 year 4 months
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