Levan Tsinadze is an AI and machine learning researcher, Head of AI Research at MaxinAI, and Visiting Lecturer at Tbilisi State University. He has over 20 years of experience in software engineering, including more than a decade in applied machine learning.

His research explores the mathematical foundations and interpretability of AI models, connecting lattice theory, category theory, and formal concept analysis with neural networks. His current work focuses on sparse representations in vision and language models, examining shared features, information retrieval, and relationships between different representations through both mathematical and empirical approaches.

Alongside his research, Levan teaches statistical learning, machine learning, and deep learning.