domains / families / software-engineering / senior-computer-vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems. World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
The two copies overlap in scope (object detection, segmentation, PyTorch, production deployment) but each contains material steps the other lacks. The first copy is a broad senior-engineering persona with generic MLOps/security/leadership guidance and placeholder scripts. The second copy is a concrete CV engineering skill with specific architectures (YOLO, Faster R-CNN, DETR, SAM), a step-by-step detection pipeline, dataset preparation commands, evaluation metrics, and an optimization/deployment workflow. Crowning one would hide the other's real alternative content.