Опыт работы
Inex technologies
Февраль 2016 — По настоящее время (4 года и 7 месяцев)
License Plate recognition Camera Systems - data mining, feature engineering, machine learning: - Detection, segmentation and symbols recognition with convolutional neural networks (Tensorflow detection API, Keras, LeNet, VGG, SSD and MobileNet) ; - image comparison and duplicate search (siamese net); - Merging outcomes from several recognizers (feature engineering, XGBoost); - Image processing, image feature engineering (python, OpenCV).
Крупнейшая российская поисковая система и портал. Яндекс есть также в Казахстане, Беларуси и Турции.
Сентябрь 2014 — Февраль 2016 (1 год и 6 месяцев)

Taking part in projects of Yandex Search system:

  • automatic correction of typos;
  • Automatic grouping queries;
  • spam detection;
  • Automatic search for semantically related queries;
  • Automatic selection of video and web queries.

Feature engineering, building of the semantic graph queries, the construction of a language model, the proximity measures between queries, word2vec technology, data analyses, machine learning;

Parascript LLC
Ведущий научный сотрудник
Февраль 2001 — Сентябрь 2014 (13 лет и 8 месяцев)

Taking part in the following projects of the company:

  • automatic search of breast cancer on a mammogram from detection to verification and evaluation of malignancy (6 years);
  • automatic search of breast cancer on a tomogram (tomosynthesis) from detection to verification and evaluation of malignancy (1 year);
  • automatic recognition of the complete U.S. mailing address, including all types of address data: machine print, handprint and cursive;
  • automatic recognition of check courtesy and legal amount in check images;
  • detecting signature presence and verifying signatures on checks and other documents and revealing all types of signature fraud, including random and skilled forgery.

Working in all steps of the recognition process: location, noise elimination, segmentation, extraction of the significant features for recognition, data analysis, training of neural networks, merging the results.

Work with the doctors, extraction of the significant features, grey scaled Image Processing, feature engineering, data mining, neural network training.

Location of machine print, handprint, and cursive courtesy / legal amount in Money Orders and Travel Checks: noise elimination, segmentation, extraction of dollar and cent parts;

Signature verification in scanned images; the results obtained are better than those of human expertise;

Online signature verification;

Location of machine print, handprint and cursive address in scanned images of arbitrarily oriented flats.

Высшее образование
Московский государственный институт радиотехники, электроники и автоматики
Факультет: Автоматики и вычислительной техники
Февраль 1984—Май 1990 (6 лет и 3 месяца)
Прикладная математика • 1998. Ph.D. in Computer Science in the field of Graph Theory, Russian Academy of Sciences, Institute of Control Sciences, Moscow. • 1990. M.S. in Applied Mathematics, Moscow University of Electronics and Automation, Moscow. • 1988. B.S. in Applied Mathematics, Moscow University of Electronics and Automation, Moscow.