I'm a passionate Deep Learning researcher and developer with over a decade of experience in real-time processing of diverse multi-modal data through multi-task pipelines, with a strong emphasis on Computer Vision applications. My work often involves cutting-edge video analysis leveraging industrial cameras and LiDAR data to extract meaningful insights, such as in sports analytics.
In my free time, I enjoy participating in Data Science competitions and contributing to the advancement of applied Deep Learning research and open-source projects. Feel free to explore my repositories and connect if you're as excited about these topics as I am!
π CVPRw2020: TTNet: Real-time temporal and spatial video analysis of table tennis
π₯ CVPRw2023: Top-1, SoccerNet Camera Calibration Challenge 2023, βcodeβ π ACMMM 2024