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Alina Lozovskaya is a skilled ML Research Engineer at Hugging Face, focusing on enhancing the Open LLM Leaderboard through code refactoring and manual evaluations. With extensive experience as an Independent Scientist, Alina is conducting research on language attrition and interference while processing audio and textual data. Previous roles include Machine Learning Engineer at Innova, where Alina led ML projects and contributed to R&D with LLMs, and Data Scientist positions at NDA and 20.35 University, specializing in Elasticsearch and NLP. Alina holds a PhD in Theoretical and Applied Linguistics from Ural Federal University, along with an MA in Fundamental and Applied Linguistics and a BA in Language Interpretation and Translation.