Field of interests: NLP, RL, MLOps, Graphs, Distributed Systems
- Languages: Python, SQL
- DS/ML/DL: Sklearn, PyTorch, Transformers
- Big Data: Hadoop, Hive, Spark
- DevOps:β Linux, Git, Docker, CI/CD
| Job Position | Company | Field | Work Period |
|---|---|---|---|
| Team Lead | SberDevices | Search | 01.10.2022 β until now |
| Tech Lead, Product Owner | Sber AI Π‘enter | NLP, MLOps, Mentoring | 01.05.2021 β 01.10.2022 |
| Senior NLP Engineer | Tinkoff AI Lab | Virtual Assistant "Oleg" | 01.02.2021 β 01.04.2021 |
| Middle NLP Engineer | MTS AI Lab | NER with Pseudo-Labeling | 01.05.2020 β 01.02.2021 |
| Junior Data Scientist | Sberbank | ML with Tabular Data, CV | 01.07.2018 β 01.05.2020 |
- Masterβs degree @ Lomonosov Moscow State University (2019 - 2023)
- Bachelor's degree @ Plekhanov Russian University of Economics (2015 - 2019)
- QaNER - unofficial implementation of QaNER paper (NER via Extractive Question Answering)
- RLLib - Reinforcement Learning library
- MUSE as Service - REST API for sentence embedding using Multilingual Universal Sentence Encoder
- PyTorch NER - pipeline for training NER models using PyTorch
- Text Classification Baseline - pipeline for building text classification TF-IDF + LogReg baselines
- Graph-Based Clustering - clustering using graph connected components and spanning trees
- From Model to Service: Flask + Gunicorn + Docker @ Sberloga
- QaNER - NER via Exractive QA @ Sberloga
- Git Hooks Is All You Need @ Sberloga
- Web-Service for Sentence Embeddings @ Sberloga
- How to start a career in DS @ REU Data Science Club
- Practical Reinforcement Learning (with honors) @ Coursera
- Introduction to Deep Learning (with honors) @ Coursera
- Bayesian Methods for Machine Learning (with honors) @ Coursera
- Hadoop. System for processing large amounts of data @ Stepik
- deNews @ ETHOnline 2022
- Alzheimer's MRI Analysis @ Synthetic Health Data Hackathon 2020
- Published 10 packages to PyPI with 16k+ downloads
- Contributor to PyTorch, Scikit-Learn, SciPy
- Open Data Science Best Contributor 2020
More information in my LinkedIn π