Anna Potapenko is a Research Engineer at DeepMind in London with 10 years of experience building and operationalizing NLP and interpretable neural models. She holds a PhD in Natural Language Processing from the Higher School of Economics and a Master's in Computer Science from Lomonosov Moscow State University, with additional training at Yandex School of Data Analysis. Her background includes applied ML roles at Yandex and internships at Google working on interpretable neural networks for Google Assistant and NLP in Ads Quality, giving her a rare blend of academic rigor and product-focused deployment experience. She specializes in making state-of-the-art NLP systems explainable and production-ready, translating research advances into usable engineering solutions.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at Higher School of Economics
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