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By Sumeet138
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
npx claudepluginhub sumeet138/qwen-code-agents --plugin machine-learning-opsExpert 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 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.
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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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.
Deploy ML models to production
ML engineering plugin: Give your AI coding agent ML engineering superpowers.
ML engineering agents providing expertise in MLOps, model deployment, and inference optimization
AI/ML development: LLM architecture, prompt engineering, ML ops, and NLP with production deployment focus
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
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