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HuaweiSenior Data Scientist
Nov. 2021Moscow, Moscow City, RussiaDevelopment of rapid learning algorithms for neural networks and increasing quality of neural networks in new 8-bit floating point data type. Responsibilities and achievements:
- Conceptualized and developed 4 methods for increasing the accuracy of deep learning models in 8-bit floating point data type.
- Optimized 6 computer vision models (including body tracking, pose estimation and semantic segmentation).
Jun. 2021 - Oct. 2021Moscow, RussiaResearch and development in 3 projects: segmentation of defects in cars, classification of human activity by time series and price forecast for medicines based on historical data. Responsibilities and achievements:
- Built the data labeling system.
- Developed statistical models for price forecasting.
- Designed a human activity classification model.
- Conceptualized the architecture of image segmentation deep learning system.
Nov. 2017 - Sep. 2021Perm, RussiaJoined the startup Sortomat (https://sortomat.ru/en) at an early stage as a data scientist. Responsibilities and achievements:
- Designed and built a computer vision and deep learning system.
- Published 13 scientific articles and 2 patents.
- Participant of TensorFlow Research Cloud (TFRC) program.
Perm State Technical University (PSTU)PHD Student
Oct. 2017 - Sep. 2021Perm, RussiaDefended PhD work on the research and development of an automatic sorting system for plastic bottles to make it accurate and cheap