Naum Sayfullin builds the autonomous agents that make scientific knowledge actionable. Starting from a foundation in pharmaceutical data analysis at CAS, he has moved through data governance and platform development to his current focus: agentic AI systems that use specialized tools to solve complex, data-driven problems. What distinguishes his work is the through-line from domain to deployment. His background in pharmaceutical science keeps real-world scientific applications in view, while his technical evolution reflects the cutting edge of the field. His NLP work spans the full arc from classical machine learning through deep learning to state-of-the-art LLMs, complemented by a computer vision portfolio that ranges from early YOLO architectures to Vision Transformers. He holds a B.S. in Pharmaceutical Science from The Ohio State University and an M.S. in Applied Data Science from Syracuse University.
