Обо мне
  • Middle experience in Python, broad knowledge of ML stack (PyTorch, Tensorflow, Keras, Pandas, SciPy, OpenCV)
  • 6 Coursera certificates in Deep Learning and Data Analysis
  • Junior-level knowledge of C#
  • Entry skills of CUDA C
  • Good knowledge of probability and statistics, discrete math, linear algebra, algorithms and data structures 
Опыт работы
Июнь 2018 — Январь 2019 (8 месяцев)
Обязанности и достижения

Created a computer vision app for counting people on conferences (counting both those who approached to camera/booth and those who not) using Python, TensorFlow and OpenCV, slides can be found here: https://goo.gl/jy2iea

Created a computer vision tool for smart imagery recognition of designer’s team Dropbox (automatic sorting of tens of thousands of images) using Python, Dropbox API, PyTorch and OpenCV, slides can be found here: https://goo.gl/nsY315

Применяемые навыки
Высшее образование
Сентябрь 2014 — Июнь 2019
Компьютерных технологий, автоматизированных систем и защиты информации; ФКТАС
Специализация и достижения

Won R&D grant by Russian State Fund (computer vision and biometrics research). Author of patent RU2672279C1 (iris biometrical identification method). Won scholarships of the President and the Government of Russia for academic successes.