ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deployment, and monitoring across cloud platforms. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub jhosepharaujo/agents --plugin machine-learning-opsDocumentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
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REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
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Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.