Alexander Rubinstein
Research Scientist at Mirelo
Tübingen, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolAlexander Rubinstein is a research scientist and PhD candidate at the University of Tübingen specializing in scalable, trustworthy AI with a focus on explainable and robust machine learning. With eight years of applied ML experience across academia and industry, he has built production-ready data pipelines and transformer-based models at Yandex and developed U-Net segmentation models during research internships. His work bridges deep research (IMPRS-IS/STAI) and practical engineering, including parallel data loaders from MapReduce clusters and PyTorch-based A/B-tested DSSM systems. Trained in applied mathematics and data science at MIPT, Skoltech and ETH, he combines rigorous theoretical grounding with hands-on deployment skills. Uncommonly, he pairs a strong systems background in C++/Eigen and PyBind with modern ML tooling, enabling reproducible, scalable experiments and model explanations.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy, Machine Learning, Doctor of Philosophy, Machine Learning at University of TübingenMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Skolkovo Institute of Science and TechnologyMaster of Science - MS, Applied Mathematics and Physics, Master of Science - MS, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)Mathematics and Physics, Mathematics and Physics at ФМЛ/ФМШ №2 Сергиев Посад
Github Skills (22)
robustness8
bert8
nlp6
ai6
segmentation6
natural-language-processing6
machine-learning6
classification6
prompt6
foundation-models5
denoising5
large-language-models5
evaluation5
prompt-toolkit5
language-model5
Programming languages (6)
Github contributions (5)
arubique/stnd
Apr 2025 - May 2026
Contributions:1 release, 28 PRs, 55 pushes in 1 year 1 month
arubique/STAI-tuned
Apr 2023 - Apr 2026
Utility code from STAI (https://scalabletrustworthyai.github.io/)
Contributions:8 reviews, 84 PRs, 147 pushes in 3 years
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