Position: Machine Learning Engineer
Category: Python
English level: upper
Years of experience: 0.5


1) NeuroStyle
I've implemented a website where you can apply a selected style to an uploaded image (Neural Style Transfer) using the Flask and tensorflow backend.

2) NeuroBarrier
I have experience in creating a desktop app, which, with the help of a neural network trained by me using YOLOv5 model, recognizes the car and reads the number (using EasyOCR) from it and checks it with the SQL database.

3) My diploma was devoted to the application of graph neural networks (Message Passing Neural Network, Graph Convolutional Network) and Gradient boosting model to determine the error of semi-empirical quantum mechanical methods in determining the relative energy of conformers of biomolecules. Ensemble of model was created, trained and applied to large datasets of biomolecules.