Nikolay specializes in designing, implementing, and deploying complex Deep Learning-based products for real-time and accuracy-critical applications with over 7 years of experience in the field. His primary expertise revolves around multi-modal data processing in multi-task scenarios with a main focus on Computer Vision. With a rich background as a Deep Learning R&D Lead, he has a proven track record of effectively bridging the gap between cutting-edge research innovations and commercial deployment. He has overseen AI software and hardware architecture, data pipelines, and optimized solution designs, ensuring end-to-end project execution. Among his achievements, Nikolay's research contributed to combining temporal and spatial modalities for video understanding, essentially pioneering AI-based 360-degree video analysis, making a transformative impact not only in Sports analysis but also across various Computer Vision applications. His current work results include a Computer Vision perception system that provides English Premier League clubs with leading-edge data for data-driven decision-making.