I'M DMITRY ZOLOTAREV

My team and I worked on a smart mirror project. To solve the problem, we have trained segmentation models((UNet, YOLOv8) and generatively competitive networks (GAN, GAN-GP).

Together with my classmates, we presented a paper on the project Generative Models in the Fashion Business at the Young Scientists Congress.

I participated in a summer school as part of the team Computer Vision for Oil and Gas Companies. ML backend: data annotation, preprocessing, and augmentation. Model selection and training in PyTorch. The final result of our team's work was an MVP (Minimum Viable Product).

I am involved in the development of internal solutions for the TATNEFT group of companies. In this position, I'm responsible for selecting, training, and deploying models, connecting the backend with the frontend to simplify and improve user experiences.

At the moment, I am studying in the third year of the Robotics and Artificial Intelligence faculty. I have an average GPA of 4.39 out of 5 for the first year and 4.75 for the second one.

I successfully completed the advanced course with a score of 91%. I worked with segmentation, detection, autoencoders, and generative adversarial models. In addition, I became acquainted with classical machine learning models and learned about transfer learning.

This course is dedicated to the use of neural network models for processing natural language and audio signals.