Bepro
As a Senior Full-Stack Engineer at Bepro.ai, I contributed to developing cutting-edge sports analytics solutions. I worked on their video analysis platform, implementing real-time tracking systems and performance analytics tools using Python and TypeScript. I helped optimize their machine learning pipeline for player tracking and enhanced their coaching platform with interactive visualization features, resulting in improved user engagement and faster video processing times.
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Achievements
- Led the development of advanced video analysis features for the coaching platform, implementing real-time player tracking and performance metrics visualization.
- Utilized Python for high-performance backend services handling video processing and TypeScript for responsive front-end analytics dashboards.
- Enhanced the machine learning pipeline for automated player tracking and game event detection, improving accuracy by 15% and reducing processing time by 30%.
- Implemented a scalable microservices architecture for handling multiple simultaneous video analysis streams, supporting concurrent usage by multiple teams and coaches.
- Optimized the deployment pipeline using Docker and Kubernetes, enabling efficient scaling of video processing resources based on demand.
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