You've trained your model. Now it needs to actually run somewhere.

I'll take your trained ML model and wrap it in a clean, production-ready REST API — so your app, dashboard, or team can query it in real time.

What you get: → FastAPI or Flask REST endpoint for your model → Input validation with Pydantic (no bad data crashes) → JSON request/response with clear schema → Error handling and basic logging → Tested and documented — ready to deploy

I've done this production-side: fraud detection pipeline on 6.3M transactions, deployed as a live API with threshold tuning against real business metrics.

Your model, working in the real world. That's the deliverable.

What I need from you:

Your trained model file (.pkl, .pt, .h5, or similar)

Input/output schema

Any preprocessing logic

Turnaround: 3-5 days depending on complexity.