Alexander Rezanov

Alexander Rezanov has a strong background in computer vision and machine learning. Alexander started their career as a Computer Vision Researcher at Moscow Institute of Physics and Technology, where they developed novel solutions for deep neural networks and real-time pose estimation. Alexander then worked as a Machine Learning Engineer at Neuromation, where they developed computer vision services and achieved state-of-the-art performance in object detection and lung segmentation. At the AI startup Inworld AI, Alexander worked as a Machine Learning Engineer, focusing on researching new approaches and optimizing their production usage. In their most recent role as a Senior Computer Vision Research Engineer at Brask, they developed a state-of-the-art lip-sync approach using GANs and achieved high-quality results. Throughout their career, they have made significant contributions such as reducing development complexity, improving processing time, and enhancing the quality of agents' responses.

Alexander Rezanov completed their Bachelor of Science degree in condensed matter at the Moscow Institute of Physics and Technology (State University) (MIPT) between 2016 and 2020. Alexander then pursued further education and obtained a Master of Science degree in Computer Science from the same university from 2020 to 2022.