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.