I am a Master's degree candidate specializing in Data Science and Big Data at Novosibirsk State University, with a keen interest in the implications of AI safety and the potential for malicious use of self-improving AI agents.Alongside my academic endeavors, I am also a co-founder of Ads Helper, a mobile ad tech startup. This entrepreneurial journey has provided me with valuable insights into the challenges of the tech industry while honing my leadership and innovation skills.My background in Data Science is extensive and varied. It encompasses a broad range of areas including time series prediction, classification of image/sound/tabular data, recommendation systems, and more. I am particularly intrigued by the use of autoencoders and the exploration of hidden spaces, and I continually refine my approach towards ensemble models, which has been a focus since my thesis work. My practical experience spans across the full cycle of machine learning tasks, from the cleaning and preprocessing of data to the visualization of results.In customer-facing roles, I've demonstrated substantial competence in business analysis, requirement formulation, and negotiation. I am adept at generating periodic reports and facilitating discussions on work acceptance standards.Beyond my core competencies, I enjoy extending my expertise into other areas through personal projects. These ventures have seen me dabble in reinforcement learning, image generation, anomaly detection, segmentation, and more.Despite being fully employed at present, I aspire to transition towards a research role in AI safety. I am eager to connect with researchers and potential employers in this field to learn more, collaborate and contribute to this critical area of study.
