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Development 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).

Senior Data Scientist

Research 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.

Data Scientist

Joined 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.

Defended PhD work on the research and development of an automatic sorting system for plastic bottles to make it accurate and cheap

PHD Student

Data scientist

Russia

United Kingdom

United States

Startup Founder

Business Owner

Fullstack Software Engineer

Product manager

fullstack developer

Team Lead Product analyst

ML Engineer

Helicopter Pilot in Command

Startup Consultant

Cnc programmer cum operator

MLOps & Data Engineer

Marketing & Operations Specialist

Founder | Startup Strategist

Service Operations Manager

Senior Frontend Engineer

Lead Data Scientist

Editor-in-Chief

orange.avif

Yakov

Dmitry