Analyst

• Aug 2022 - Present

Research Scientist

• Aug 2020 - Mar 2022

• Utilized machine learning algorithms to predict various alloys properties (irradiation and corrosion resistance, strength, etc). Increased models accuracy with hyperparameter optimization and feature engineering. • Developed software using Python for automatic pre-processing, data analysis, model fitting and prediction of alloy properties. • Developed the novel approach to the automatic search for ordered structures in multicomponent alloys. • Utilized machine learning algorithms to predict various alloys properties (irradiation and corrosion resistance, strength, etc). Increased models accuracy with hyperparameter optimization and feature engineering. • Developed software using Python for automatic pre-processing, data analysis, model fitting and prediction of alloy properties. • Developed the novel approach to the automatic search for ordered structures in multicomponent alloys.

Programmer, Software Developer

• Dec 2019 - Jan 2022

• Developed software using Delphi for modelling the physics of water molecules interactions. • Researched the possibility of using recurrent neural network models (LSTM) to simulate the physics of water molecules interactions. • Applied evolutionary algorithm to solve the problem of finding the minimum potential energy • Developed software using Delphi for modelling the physics of water molecules interactions. • Researched the possibility of using recurrent neural network models (LSTM) to simulate the physics of water molecules interactions. • Applied evolutionary algorithm to solve the problem of finding the minimum potential energy

Junior Research Scientist

• Aug 2019 - Aug 2021

Intern researcher

• Sep 2016 - Jun 2019

• Utilized R to search for all possible variants of detected human mutations (>20 min) that can be edited with Crispr-Cas9 systems. • Utilized R to search for all possible variants of detected human mutations (>20 min) that can be edited with Crispr-Cas9 systems.