Oleksandr Maksymets

Oleksandr Maksymets is an accomplished AI researcher with extensive experience, particularly at Meta Superintelligence Labs and FAIR. At Meta, Oleksandr served as the lead architect for a large-scale vision-language encoder for Llama, achieving state-of-the-art accuracy on ImageNet, and designed a robust contrastive pre-training pipeline. Previous roles include foundational work in embodied AI at FAIR, where Oleksandr built and pre-trained the 'Visual Cortex' backbone, significantly enhancing performance in Realistic PointNav. Additional experience includes serving as Chief Technology Officer at Be Global, where software engineering teams focused on AI projects, and teaching as an Assistant Professor at Taras Shevchenko National University of Kyiv. Oleksandr holds a Doctor of Philosophy (Ph.D.) in Computer Science and a Master’s degree in Applied Mathematics from the same institution.