Data Scientist / Deep Learning Engineer

Fields of interest: Machine Learning, Optimization

• Intern at Sber AI (Jun 2024 - Present):

  • Instruct Image Editing

• Technician at Laboratory of Mathematical Methods of Optimization, MIPT (Oct 2023 - Apr 2024)

  • Decentralized Optimization with Coupled Constraints
  • Network design problem

• BSc in Applied Mathematics and Physics (Sep 2020 – Present)
  • Moscow Institute of Physics and Technology
  • Thesis: Bayesian Sample Size Estimation
  • Advisor: Andrey Grabovoy
  • GPA: 4.88/5 (8.91/10)

• Decentralized Optimization with Coupled Constraints (under review)
• Sample Size Determination: Posterior Distributions Proximity (under review)
• Forecasting fMRI Images From Video Sequences: Linear Model Analysis (under review)

• 66th MIPT All-Russian Scientific Conference
  • Determining a sufficient sample size based on the a posteriori distribution of model parameters

• 3rd degree personal scholarship for contributions to the development of numerical optimization methods

• K.V. Rudakov scientific academic scholarship for research activities in the field of applied mathematics
• 3rd degree personal scholarship for contributions to the development of numerical optimization methods

• Abramov scholarship for 1-3 year bachelor students with the best grades at MIPT

• Models of epidemic spread, in particular COVID-19 as a model of stochastic chemical kinetics
• Optimization methods for quadratic problems with large dimensionality
• Intelligent Presentation Generator

🇷🇺 Russian - Native
🇬🇧 English - C1

• 🏋🏻‍♂️ Gym
• 🎸 Guitar