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Обо мне

I can test and optimize code, teach co-workers and review their work.

Профессиональные навыки
Участие в профессиональных сообществах
Опыт работы
Мультиплатформенный сервис с аудиторией более 40 млн уникальных пользователей в месяц
Frontend Developer
Август 2019 — По настоящее время (1 год)
POTEHA developers
Full Stack
Август 2018 — Март 2019 (8 месяцев)
  • Made landing page Poteha Devs with React potehadevs.com
  • Developed subscription system for Nonfiction.film, desined models in postgresql, added interface parts to React front-end and api on koa server.
  • Developed web shop with Next js
  • Made landing page Poteha Labs with gatsby js potehalabs.com
  • Added mobile support for Nonfiction.film
  • Fixed some bugs and changed content in other projects
Full Stack
Июль 2017 — Июль 2018 (1 год и 1 месяц)


I’m developing android/ios app with React Native and Redux for restaurant order management. I have done UI using designer mock-ups, released new versions to real customers, introduced other team members to idiomatic design patterns, made changes on Laravel server. Also I’m developing web dashboard for restaurant managers using React, Redux, MaterialUI and Sagas.

Высшее образование
Национальный исследовательский университет «Высшая школа экономики»
Факультет: Факультет компьютерных наук
Сентябрь 2015—Июнь 2019 (3 года и 9 месяцев)

Dropped out

Specialization: Machine Learning and Applications

Practice and projects

• Summer practice, Geometrical Methods of Machine Learning (Jun 2017 – Sep 2017). I compared different
methods of nonlinear dimensionality reduction and PCA on generated and real data, tried to predict dimension
of data and visualized MNIST data reduced to two dimensions.
Prediction methods: Levina-Bickel, Isomap, Granata-Carnevale, PCA.
Reduction methods: Isomap, LLE, SE, LTSA, MDS, t-SNE.
• Out-of-Sample Extensions for SE (Jan 2017 – Jun 2017). I implemented Out-of-Sample Extensions for SE in
python library for ml scikit-learn. Algorithm is taken from article ”Out-of-Sample Extensions for LLE, Isomap,
MDS, Eigenmaps, and Spectral Clustering” Yoshua Bengio, Jean-Franc¸ois Paiement and Pascal Vincent.
• Summer practice, Analysis of MNIST (Jun 2016 – Sep 2016). I compared k-NN, SVM, RandomForest, NN
models on MNIST data, potted dependence of accuracy on parameters. Tried PCA with different dimensions.
Took skelet of image and add this to RandomForest, which improved accuracy. Used scikit-learn, numpy,
pandas, tensorflow.
• NLP identify author of text (Jan 2016 – Jun 2016). I implemented k-NN model on n-grams of texts to identify
author, and web interface made with Flask and React.