Experience

Constructor

• United States
• Software Development
• 100 - 200 Employee

• Senior Machine Learning Engineer

  • Jan 2023 - Present



OZON.ru

• Russian Federation
• Technology, Information and Internet
• 700 & Above Employee

• ML Products Team Lead

  • Jun 2022 - Jan 2023

  - Developing a real-time system for products matching from scratch 1. Microservices communication (gRPC, Kafka) 2. Fast and scalable machine learning models (ONNX, Triton Inference Server) 3. Databases for efficient data storage (PostgreSQL, Redis, HBase)- Additionally managing a team of 5 ML engineers

• Senior Machine Learning Engineer

  • Apr 2022 - Jun 2022

  - Developed a search suggest ML algorithm which significantly beat the current production solution - Integrated Spark Structured Streaming pipeline in ETL processes- Designed and implemented Prod2vec architecture (Blog post: https://towardsdatascience.com/vector-representation-of-products-prod2vec-how-to-get-rid-of-a-lot-of-embeddings-26265361457c)

• Machine Learning Engineer

  • Mar 2021 - Mar 2022

  - Came up with a more relevant metric for model evaluation which speeded up hypothesis testing- Significantly optimized PySpark jobs that eventually saved 20% of working pipeline time- Added detection system into matching pipeline to get more precise embeddings- Developed several DL models and integrated them in PySpark- Did research in metric learning, probability calibration, query expansion, visual transformers



Huawei

• China
• Telecommunications
• 700 & Above Employee

• Data Science Researcher

  • Feb 2020 - Jan 2022

  Paper: https://arxiv.org/abs/2206.06827 Blog post: https://towardsdatascience.com/evolution-of-policy-gradient-methods-in-reinforcement-learning-from-reinforce-to-evm-4e80017a297b - Researched RL algorithms, reviewing variance reduction techniques - Implemented new algorithms based on policy gradient methods Paper: https://arxiv.org/abs/2206.06827 Blog post: https://towardsdatascience.com/evolution-of-policy-gradient-methods-in-reinforcement-learning-from-reinforce-to-evm-4e80017a297b - Researched RL algorithms, reviewing variance reduction techniques - Implemented new algorithms based on policy gradient methods



Spora

• Москва, Россия

• Data Science Project Manager

  • Jul 2020 - Mar 2021

  - Leaded medicine OCR project from problem statement to production - Applied SOTA deep learning models for text detection and recognition - Created several Pytorch models as microservices - Communicated with medical consultants to improve the quality of the model - Leaded medicine OCR project from problem statement to production - Applied SOTA deep learning models for text detection and recognition - Created several Pytorch models as microservices - Communicated with medical consultants to improve the quality of the model



Tinkoff

• Russian Federation
• Banking
• 700 & Above Employee

• Machine Learning Intern

  • Jun 2019 - Aug 2019

  - Developed the churn prediction system allowing to react quickly to sudden layoffs - Aggregated data from databases and structured information flow in processes - Developed the churn prediction system allowing to react quickly to sudden layoffs - Aggregated data from databases and structured information flow in processes



AllMed

• Лондон, Англия, Соединённое Королевство

• Software Engineer Intern

  • Jun 2018 - Jul 2018

  - Developed a mobile application for employees for acquaintance with GDPR - Took courses on accounting and financial tools - Developed a mobile application for employees for acquaintance with GDPR - Took courses on accounting and financial tools