Alexander Rubinstein
PHD Student at University of Tübingen
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
1 year of employment as a software developer
Master 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 Московский Физико-Технический Институт (Государственный Университет) (МФТИ)Mathematics and Physics, Mathematics and Physics at ФМЛ/ФМШ №2 Сергиев Посад
Github Skills (17)
prompt7
few-shot-learning7
nlp7
transfer-learning6
machine-learning6
prompt-tuning6
prompt-toolkit6
natural-language-processing5
bert5
face5
pytorch4
denoising4
ai4
python3
frontend3
Programming languages (5)
Github contributions (5)
AlexanderRubinstein/STAI-tuned
Apr 2023 - Mar 2025
Utility code from STAI (https://scalabletrustworthyai.github.io/)
Contributions:8 reviews, 77 PRs, 131 pushes in 1 year 11 months
AlexanderRubinstein/scalabletrustworthyai.github.io
Jul 2022 - Sep 2023
Contributions:5 pushes, 1 branch in 1 year 2 months
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