I’m currently studying for a Master’s degree in Applied Mathematics and Computer Science at Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics.
I’m also working as a NLP Tech Lead at Sber AI.
In my spare time, I like to learn something new about Machine Learning / Deep Learning and implement different models. For more information, please visit my projects.
| Job Position | Company | Work Period |
|---|---|---|
| NLP Tech Lead | Sber AI | 01.04.2021 — until now |
| Senior NLP Research Engineer | Tinkoff AI Lab | 01.02.2021 — 01.04.2021 |
| Middle NLP Engineer | MTS AI Lab | 01.05.2020 — 01.02.2021 |
| Junior Data Scientist | Sberbank | 01.07.2018 — 01.05.2020 |
| Research Assistant | Plekhanov Russian University of Economics | 01.12.2018 — 01.01.2020 |
More about work experience in my LinkedIn.
My solutions for Home Assignments for Machine Learning Job Interviews: link
- Master’s degree in Applied Mathematics and Computer Science at Lomonosov Moscow State University (2019 - 2022)
- Bachelor's degree in Applied Mathematics and Computer Science at Plekhanov Russian University of Economics (2015 - 2019)
Diploma thesis: "Assessment of credit organizations borrowers' default rate"
More about education in my LinkedIn.
- MUSE as Service - REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder
- PyTorch NER - pipeline for training NER models using PyTorch
- Calculus of Variations - bachelor project on solving the Calculus of Variations problems
- Neural Machine Translation - pipeline for training Stanford Seq2seq Neural Machine Translation using PyTorch
- Language Modeling - pipeline for training Language Models using PyTorch
- Image Captioning - trained Image Captioning model deployed as telegram bot (currently off)
- PyTorch Tutorials - different Deep Learning tasks solved using PyTorch models
- Project Euler - solutions to Project Euler problems
- Gists - small experiments and useful functions
- GAN for Tabular Data - GANs for tabular data
- Grokking Algorithms - excellent, fully illustrated book about algorithms
- AllenNLP Guide - code and material for the AllenNLP Guide
- Simple ELMo - simple library to work with pre-trained ELMo models in TensorFlow
- Languages: Python, SQL
- DS/ML/DL: NumPy, SciPy, Pandas, Scikit-Learn, PyTorch
- DBMS: Oracle (PL/SQL), MS SQL (Transact-SQL)
- Big Data: Hadoop, Hive, Spark
- DevOps: Linux, Git, Docker, CI
- Introduction to Machine Learning @ Coursera
- Supervised Learning @ Coursera
- Introduction to Deep Learning (with honors) @ Coursera
- Bayesian Methods for Machine Learning (with honors) @ Coursera
- Practical Reinforcement Learning (with honors) @ Coursera
- Introduction to Linux @ Stepik
- Version Control with Git @ Coursera
- Hadoop. System for processing large amounts of data @ Stepik
More certifications in my LinkedIn.
- Open Data Science Best Contributor 2020
- Awesome GitHub Profile README (Category: Descriptive 🗒)
- IX International Scientific and Practical Conference named after A.I. Kitov "Information Technologies and Mathematical Methods in Economics and Management" (website and certificate)
- Deep and Machine Learning methods for document clustering and classification tutorial in frames of The XXIII International Scientific Conference of Young Scientists and Specialists (AYSS-2019) (website)
- Synthetic Health Data Hackathon 2020 Alzheimer's MRI Analysis