Summary
Larisa Markeeva is a Senior Research Engineer with nine years of experience bridging applied mathematics, deep learning research, and production ML systems. Her work spans low-level embedded development to large-scale recommendation and ad-targeting pipelines, including text mining and Big Data stacks like Hadoop, Spark, and Giraph. After impactful research roles and internships at Google (on model compression, federated learning and ML for codecs), she joined DeepMind where she now drives computer vision and scientific research engineering. Trained at MIPT and Innopolis in applied math and AI, she combines rigorous theoretical background (tensor networks, tensor decompositions) with practical productionization of models at scale. A distinctive strength is translating advanced research—e.g., neural network compression and tensor methods—into robust, fielded systems for user targeting and large-scale data analysis.
9 years of coding experience
14 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Russian State Technological University named after K.E. Tsiolkovsky (MATI)
Bachelor's degree Artificial Intelligence, Bachelor's degree Artificial Intelligence at Innopolis University
Master's degree Applied mathematics and informatics, Master's degree Applied mathematics and informatics at Moscow Institute of Physics and Technology (State University) (MIPT)
Русский, English