Soccer Analytics Project• Developed and improved the system for detection and recognition of players on the field• Optimized preprocessing and postprocessing data• Stack of technologies: YOLOv4, YOLOv7, TorchReID, OpenCV, Pytorch, NumPy, TensoRTMaekersuite• Developed a Row Level Security (RLS) system for Supabase (PostgreSQL)• Created a dashboard in Grafana to visualize key performance metrics and other data• Performed maintenance and updates to the RLS system to ensure compliance with evolving policies and regulationsPreparation of materials and hypothesis testing of incoming company requests in the field of computer vision.

• Studied the main tasks of computer vision and solved them in practice. • Gained in-depth knowledge of PyTorch, TensorFlow, OpenCV and NumPy tools • Developed pipeline training, configured DVC to support data versioning and prepared data sets using CVAT• Conducted the final project as a competition to segment parts of premises using a model trained on TensorFlow• My model won the 1st place in the competition and earned an offer from Exposit