I will deploy your ml model to AWS professionally

Getting a model out of a notebook is a different job than building it. Production means handling traffic, failing gracefully, being monitored, and staying fresh as data drifts. I turn trained models into infrastructure you can build product on.

I'm a data scientist and engineer with 10+ years of experience shipping production ML, including at a logistics startup where I led data science and engineering on the live systems.

What you get:

• Your model wrapped as a clean, tested API (FastAPI, typed schemas)
• Dockerised and deployed to AWS, GCP, Azure, or self-hosted
• Authentication, rate limiting, error handling, logging
• CI/CD via GitHub Actions
• Optional: training pipelines, drift detection, automated retraining, monitoring dashboards

Works with: scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Hugging Face Transformers, ONNX, custom models.

Before ordering, message me with your model type and expected traffic. Low- and high-traffic systems need different inf