Anastasia Motrenko is a Data Scientist and Deep Learning Engineer with 11 years of experience bridging academic research and production ML, currently building NLP solutions and a conversational chatbot at Revolut in Berlin. She holds a PhD in Applied Mathematics from MIPT and has a strong publication record and research background in conversational AI and intrinsic plagiarism detection. At VK/Mail.ru she adapted SOTA generative models and designed evaluation metrics that helped launch a new chatting mode for the Marusya voice assistant, and earlier led a team to deploy sensor-based activity recognition pilots in industry. Comfortable moving models from research to product, she combines rigorous experimental methodology with hands-on dataset curation and model engineering for Russian language domains. A less obvious strength is her track record of winning competitive challenges (PAN CLEF 2016) and producing annotated corpora and metrics that materially improved conversational quality beyond raw model improvements.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Contributions:21 pushes, 1 branch in 1 year 10 months
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Anastasia Motrenko - Data Scientist (Deep Learning Engineer)