Katrina Drozdov
Research Scientist at Vals AI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolKatrina Drozdov is an AI research scientist with a decade of experience building robust, production-minded machine learning systems and evaluations. With a PhD from NYU Center for Data Science and deep roots in Yann LeCun’s group, she has advanced self-supervised learning for computer vision and translated research into practical gains like one-shot learning improvements during Meta internships. Now based in the San Francisco Bay Area, she focuses on benchmarking and rigorous evaluation of large language models to bridge research insights and real-world deployment. She has contributed targeted reasoning tasks at Snorkel AI and currently develops evaluation methodologies at Vals AI to stress-test LLM capabilities. Comfortable moving models from lab to product, she has a track record across industry (eBay, Meta) and academia of delivering scalable, measurable impact. An often overlooked strength is her mathematical foundation from Harvard, which underpins her ability to design principled evaluation metrics that reveal subtle failure modes.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at New York UniversityBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Harvard UniversityMaster’s Degree, Data Science, Master’s Degree, Data Science at NYU Center for Data ScienceSofia High School of Mathematics
Github Skills (12)
game-theory9
theory7
markov-decision-processes7
data-structures6
julia6
data-science2
machine-learning2
deep-learning2
python2
reinforcement-learning1
pytorch1
arxiv1
Programming languages (2)
Github contributions (5)
kevtimova/kevtimova
Nov 2016 - Mar 2025
Contributions:84 pushes, 4 branches in 8 years 5 months
kevtimova/licms
Nov 2018 - Dec 2018
Contributions:71 commits, 2 pushes in 23 days
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