Polina Proskura
Applied Scientist @Amazon
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WORK HISTORY
Applied Scientist @Amazon
Investigated failure modes and representation quality in large-scale Deep Learning models using clustering and statistical analysis to identify systematic performance gaps and distribution shifts• Analyzed model miscalibration, bias, and distributional failure cases in Reinforcement Learning–based Neural Networks, developing evaluation frameworks to diagnose and characterize reliability and alignment issues of modern AI systems• Applied rigorous experimental and statistical methodologies to improve model robustness, reliability, and generalization in high-scale Machine Learning systems
EDUCATION
Nebius Academy
AI Performance Engineering
EPFL
Master's degree, Data Science
Center of Mathematical Finance
Quantitive Analytics
Yandex School of Data Analysis
Computer Science
Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Applied Mathematics
Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor's degree, Applied Mathematics
ABOUT POLINA PROSKURA
Applied Scientist @ Amazon, ex-Google
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