Ziemowit Sławiński is a scientist, researcher, and AI architect with more than 12 years of experience spanning artificial intelligence, computational neuroscience, machine learning, and software development. His work focuses on building advanced AI systems, with particular expertise in Large Language Models and biologically inspired AI. Combining deep technical knowledge with a broad view of the field, he develops innovative solutions that connect research insight with real-world application.
He has been ahead of the curve in emerging AI approaches, working on Retrieval-Augmented Generation applications since 2016, long before they became widely adopted. As a skilled science communicator, he explains complex AI concepts through clear language and simple analogies. Whether developing new systems, shaping strategy, or driving innovation, he brings both vision and expertise to unlocking the potential of AI across disciplines.
