Motivated Computer Science student with a strong interest in artificial intelligence, generative AI models, PC hardware and system building, and languages. My recent thesis, "Autoregressive Prompt-based Generative Visual AI", explored generative AI and model training techniques applied to the medical domain, helping me develop research, data analysis, and problem-solving skills. Though I'm early in my professional journey, I gained practical experience assisting in my university's election office, strengthening my organizational and teamwork abilities. In addition to my academic work, I have gained strong writing and constructive feedback skills through my 4 year experience as a supertester in World of Tanks, where providing clear, actionable feedback was essential for developers. I am eager to contribute my curiosity, technical knowledge, and passion for AI to research projects, internships, or collaborative opportunities in the field. Always learning, always experimenting, and excited to turn ideas into impactful solutions.