Senior Computer Vision

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Equips Claude with the expertise of a senior computer vision engineer to build, optimize, and deploy advanced visual AI systems. It covers the entire lifecycle from training custom models with YOLO or SAM to architecting scalable MLOps pipelines and optimizing real-time inference for production environments. Whether working on 3D vision, video analysis, or vision transformers, this skill provides the architectural patterns, performance targets, and security best practices required for enterprise-scale deployments.

Características Principales

• 0 GitHub stars
• MLOps and DataOps integration including monitoring and automated retraining
• Production-grade deployment patterns for real-time inference and scalable data processing
• Performance optimization for low-latency P99 targets and high-throughput workloads
• Expertise in 3D vision, video analysis, and security/compliance standards
• Implementation of advanced CV architectures like YOLO, SAM, and Vision Transformers

Casos de Uso

• Architecting real-time video processing pipelines for production environments
• Building and training custom object detection or image segmentation models
• Optimizing ML inference pipelines for better latency and cost-efficiency