I will deploy machine learning models with docker, fastapi and mlops

Do you have a machine learning or deep learning model but need to deploy it as a real application or API?

I will help you turn your trained ML model into a working, clean, and deployable system using FastAPI, Docker, Python, and MLOps best practices.

I can help with:

- ML model deployment

- FastAPI inference APIs

- Dockerizing ML applications

- Model loading and prediction endpoints

- API testing scripts

- Clean folder structure

- Requirements and environment setup

- Deployment guidance for VPS, AWS, or cloud platforms

- Basic monitoring/logging setup

- Documentation for running and using the API

Supported models:

- Scikit-learn

- PyTorch

- TensorFlow/Keras

- XGBoost

- Hugging Face models

- Custom Python ML models

Please message me before ordering so I can review your model file and deployment needs.