Develop and implement strategies to enhance system reliability, performance, and scalability. Monitor system performance and health, proactively identifying and resolving issues before they impact users.
You will develop and improve multi-object tracking — data association, Bayesian state estimation (Kalman / EKF / UKF and motion models), track lifecycle, and ID stability through detector gaps, occlusions and crowded scenes — and evolve it toward learning-based tracking, including learned association, joint detection-and-tracking and query / transformer-based trackers.
Maintain, enhance, and debug the homegrown MES application across the full stack — React frontend, C# REST API backend, and Microsoft SQL Server database.