I will build your mlops pipeline and deploy ml models with fastapi

Do you have an AI or machine-learning model that works in a notebook but is difficult to deploy reliably?

I will deploy or troubleshoot your model using FastAPI, Docker and practical MLOps engineering.

Depending on your package, I can provide:

• FastAPI inference endpoints
• Docker containerization
• Model loading and prediction pipelines
• Environment and dependency configuration
• Health checks and API documentation
• Deployment troubleshooting
• MLflow experiment or model tracking
• GitHub Actions CI/CD
• Kubernetes or cloud deployment
• Logging and basic monitoring
• Deployment documentation

This service supports machine-learning models, RAG applications, LLM APIs, computer-vision systems and Python inference services.

Cloud, GPU, API and infrastructure charges are not included. Model training, major application development and multiple environments require a custom offer.

Please message me before ordering with your framework, repository status, current issue and deployment target.