Develop and own computer vision and deep learning systems for real-time crop-spraying applications. Build models for segmentation, classification, optical flow, and 3D reconstruction; optimize them for edge devices; and establish production MLOps, testing, and deployment practices. Collaborate with hardware, firmware, software, and product teams, analyze field performance, manage data pipelines, and continuously improve model accuracy, reliability, and inference speed.