CV
A pdf document can be found here.
Education
- B.S. in Computer Science, Ural Federal University, 2017
- M.S. in Statistical Learning Theory, Skoltech & Higher School of Economics, 2019
- Data Science diploma from Yandex School of Data Analysis, 2015-2017
- Ph.D in Engineering, University of Cambridge, 2019-present
Work experience
- March 2021 - March 2022: Student Researcher (part time)
- Google Brain
- Efficient and multimodal Transformers
- Hosts: Mario Lucic and Krzysztof Choromanski
- Summer 2018: Research Intern
- Samsung AI Center Moscow
- Translation of a 3D human pose into a high-resolution image of a person using deep learning
- Supervisor: Victor Lempitsky
- Summer 2017: SWE Intern
- Google, London
- Adding new features for a Sibyl classifier for large-scale internal machine learning task.
- Summer 2016: Open-source Developer
- Google Summer of Code
- Implementing Kim filter (extension of Kalman filter) for Statsmodels package (statistics and econometrics in Python)
- Summer 2015 and 2016-2017: SWE Intern and part-time engineer
- SKB Kontur, Yekaterinburg, Russia
- Named entity recongnition and web page annotation for Kontur.Focus service