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Adarsh Dwivedi.AI & Product Engineer
02Work

PrimeTradeML

Reproducible MLOps Batch Pipeline

PrimeTradeML running: Reproducible MLOps Batch Pipeline.

Captured from the live deployment, not a mockup

01 · The problem

Built a deterministic, Dockerized batch pipeline for trading-signal generation where the same inputs always reproduce the same outputs, because a signal you cannot reproduce is a signal you cannot audit.

02 · How it works

  • 01

    Wired validation and observability into CI so a run fails loudly on a data or schema problem rather than emitting a quietly wrong signal, with per-stage timings recorded on every run.

03 · What it cost, and what it returned

Kept configuration in YAML and the environment in the image, so a run is defined entirely by its inputs and its tag.