Padma Krishnamurthy

Designed and implemented keypoint based pose estimation models using Keypoint R-CNN to analyze social interactions and motion dynamics in livestock behavior from high resolution video datasets. Engineered end-to-end computer vision pipelines integrating YOLO based object detection and DeepSORT tracking performed data annotation, augmentation, and model optimization in PyTorch and OpenCV for scalable behavioral classification.

Worked on radar signal processing algorithms for object detection and alignment in ADAS systems. Conducted SIL simulations and signal analysis to validate radar performance. Automated test workflows in Python and managed validation with the TSF framework, improving efficiency and reliability of radar alignment and detection strategies.