feat: support offline and realtime production deployment for inference

[jitingxu1]

At present, we haven't quite cracked the code on efficiently running ML models on a SQL backend.

One approach to transitioning the preprocessing pipeline involves saving it in a readable file format for deployment into offline or real-time production systems.