Valeriia Cherepanova
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
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Top SchoolValeriia Cherepanova is an Applied Scientist II at Amazon AWS in Seattle who designs LLM agents for AWS Q for Business, drawing on eight years of experience bridging research and production ML. With a PhD in Applied Mathematics from the University of Maryland and a background in computational biology and mathematics, she has focused on fairness, robustness, privacy, and security across vision, tabular, and language models. Her recent work on Responsible AI at AWS emphasized practical defenses and evaluation frameworks for language model risks, and she has shipped production NLP and tabular solutions for Alexa products. Valeriia combines rigorous academic research with hands-on deployment experience, often translating adversarial-robustness and fairness insights into scalable systems.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Higher School of EconomicsDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of MarylandUniversity College London
Github Skills (15)
generative-adversarial-network7
generative-model7
data-generation6
synthetic-data6
synthetic6
tabular5
relational5
machine-learning5
multi-table5
time-series4
deep-learning4
keras4
generative-ai3
tensorflow3
sdv2
Programming languages (2)
Github contributions (5)
vcherepanova/academic-kickstart
Jul 2020 - Feb 2024
Contributions:162 pushes, 2 branches in 3 years 7 months
vcherepanova/vcherepanova.github.io
Jan 2023 - Jun 2024
Contributions:20 pushes in 1 year 4 months
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