senior-computer-vision
Senior Computer Vision Engineer
World-class senior computer vision engineer skill for production-grade AI/ML/Data systems.
Overview
This skill provides world-class computer vision engineering capabilities through three core Python automation tools and comprehensive reference documentation. Whether building object detection systems, training custom vision models, optimizing inference pipelines, or deploying production vision AI, this skill delivers expert-level solutions.
Senior computer vision engineers use this skill for image/video processing, object detection (YOLO, Faster R-CNN, SAM), semantic segmentation, 3D vision, video analysis, real-time processing, and production deployment. Expertise covers PyTorch, TensorFlow, OpenCV, vision transformers, diffusion models, and deployment optimization (TensorRT, ONNX).
Core Value: Accelerate vision AI development by 70%+ while improving model accuracy, inference speed, and production reliability through proven architectures and automated pipelines.
Quick Start
Main Capabilities
# Core Tool 1
More from rickydwilson-dcs/claude-skills
senior-flutter
Flutter and Dart development expertise for building beautiful, performant cross-platform applications. Covers widget architecture, state management (Riverpod, Bloc, Provider), platform channels, and production deployment. Use when building Flutter apps, implementing complex UIs, optimizing performance, or integrating native code.
21senior-java
World-class Java and Spring Boot development skill for enterprise applications, microservices, and cloud-native systems. Expertise in Spring Framework, Spring Boot 3.x, Spring Cloud, JPA/Hibernate, and reactive programming with WebFlux. Includes project scaffolding, dependency management, security implementation, and performance optimization.
14confluence-expert
Atlassian Confluence expert for creating and managing spaces, knowledge bases, documentation, planning, product discovery, page layouts, macros, templates, and all Confluence features. Use for documentation strategy, space architecture, content organization, and collaborative knowledge management.
12legacy-codebase-analyzer
Comprehensive legacy codebase analysis skill for technical debt assessment, security vulnerability scanning, performance bottleneck detection, and modernization roadmap generation. Includes 7 Python tools for automated codebase inventory, architecture health analysis, and strategic modernization planning.
11business-analyst-toolkit
Business process analysis, requirements documentation, and workflow optimization for retail, supply chain, and technology organizations
10senior-ios
Native iOS development expertise for Swift 5.9+, SwiftUI, UIKit, and Apple ecosystem integration. Covers modern concurrency, architecture patterns, App Store submission, and Xcode workflows. Use when building iOS-specific features, migrating to SwiftUI, optimizing performance, or submitting to App Store.
9