I am a dedicated and motivated physics graduate with a Bachelor's degree from Moscow State University (MSU), currently pursuing my Master's degree. With a focus on machine learning, specifically reinforcement learning (RL), computer vision (CV), and recurrent neural networks (RNN), I excel in applying these techniques to solve control problems, image recognition, and sequence classification in scientific domains. I have successfully used machine learning methods to tackle regression problems and develop recommendation systems.My research contributions are recognised in the field, as I have published an article in the prestigious journal Automation and Remote Control in 2023, with two more articles currently in progress. Throughout my academic journey, I have actively participated in various team projects, honing my collaborative skills and adapting to different working environments. In particular, our team achieved the impressive feat of winning second place in the All-Russian Hackathon, demonstrating our expertise in developing Telegram Bots.Complementing my theoretical knowledge, I have two years of practical experience, having completed seven machine learning projects. This hands-on experience has further enhanced my problem-solving skills and proficiency in implementing machine learning algorithms. With a strong academic foundation, a track record of successful projects, and a passion for exploring cutting-edge technologies, I am ready to make a valuable contribution in the field of machine learning and beyond.