• 🔭 I’m currently doing research about LLMs
• 🌱 I’m currently learning deep learning, natural language processing, and large language models.
• Ex maintainer of and .
• 🎓 I have a bachelor's degree in Computer Science from .
• 📚 I'm currently studying at the international master program "Big data and machine learning" at .

1. Evolutionary automated machine learning for multi-scale decomposition and forecasting of sensor time series

   • Authors: Mikhail Sarafanov, Valerii Pokrovskii, Nikolay O Nikitin
   • Conference: 2022 IEEE Congress on Evolutionary Computation (CEC)
   • Year: 2022
   • DOI: Link to the DOI

2. Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment

   • Authors: Nikolay O Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis Nasonov
   • Conference: 2023 IEEE Congress on Evolutionary Computation (CEC)
   • Year: 2023
   • DOI: Link to the DOI

3. Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines

   • Authors: Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya
   • Journal: ArXiv (preprint)
   • Year: 2023
   • DOI: Link to the DOI

Feel free to reach out to me on LinkedIn or Telegram.