Junior ML Engineer with one year of commercial experience. In general, mostly worked with NLP and classical ML but have a good knowledge of CV. Planning to learn RL.

📫 How to reach me: mrflowy043@gmail.com

Telegram: @sashnevskiy

• Internship in Tiknoff AI Lab. Worked on transaction scoring using recurrent neural network. Improved score by ~0.02 ROC-AUC.
• Internship in Alibaba. Worked on product matching. Implemented and trained model that finds similar items based on item description.
• Creator of wildberries parser. Website that parses wildberries.ru and gives the actual information about the products that are similar to the seller's product.

• Python/C++/Javascript languages
• Pytorch/NumPy/Pandas/Scikit-learn
• MySQL/PostgreSQL
• Airflow/Docker
• GitHub/GitLab

• match-prediction - Website for Premier League games predictions with scheduled workflow that updates games and probabilities.
• Style transfer Telegram bot - Telegram bot that transfers style from one image to another.
• Headline generation - Summarization of russian news articles using generative neural network.