Build and ship computer-vision models end-to-end: dataset curation, training, deployment, and monitoring across cloud and roadside edge hardware. Optimize for high-volume inference, accuracy, efficiency, and real-world robustness while collaborating cross-functionally and iterating rapidly.

Build and ship production-scale computer vision models end-to-end: data collection, dataset curation, training, deployment (cloud and edge), monitoring, and iteration. Work with real roadside hardware and sensors to deliver efficient, accurate detection, segmentation, classification, embeddings, and re-identification models at scale.