I will deploy your ai or ml model as a fastapi rest API

Have a trained ML model sitting in a Jupyter notebook? Let me put it into production.

I'm Pan, an AI engineer who specializes in turning models into real, callable APIs. Send me your .pkl, .h5, .pt, or Hugging Face model and I'll wrap it in a clean, documented REST API that your app, website, or team can actually use.

WHAT YOU GET

• A working FastAPI (or Flask) REST API around your model
• Clean, typed endpoints with Pydantic request/response validation
• Auto-generated Swagger / OpenAPI docs you can test in the browser
• Input preprocessing and output formatting built in
• Source code, README, and setup instructions
• A short demo (Swagger UI walkthrough or sample requests)

MY STACK Python · FastAPI · Flask · Docker · Uvicorn · Pydantic · TensorFlow Serving · TorchServe · ONNX Runtime · AWS / GCP / Azure / Railway / Render

WHY THIS GIG Most ML engineers stop at the notebook. I finish the job your model becomes a real service your team can call from anywhere. Perfect for founders who need to demo, dev teams stuck on deployment, or researchers who want their work usable beyond Colab.

Message me before ordering with your model file (or framework) and target deployment (local, Docker, cloud) so I