I work at the intersection of Artificial Intelligence and Football Analytics, focusing on Computer Vision, Deep Learning, and data-driven decision-making in sports.
My work explores AI applications in football such as player tracking, tactical analysis, performance evaluation, and video-based understanding of the game.
Previously, I worked with health-related data, including medical imaging and LLM-based systems, gaining experience with real-world data, deep learning pipelines, and applied AI workflows.
- Computer Vision for sports analytics
- Deep Learning applied to football and health data
- Machine Learning experimentation and evaluation
- Python-based AI systems
I am open to collaboration on AI in sports, football analytics, and applied machine learning projects.
