
Phase 4A was relatively smooth: I built a production-ready inference pipeline with modular preprocessing, caching, consistent schemas, and an MLflow-tracked model. Phase 4B was supposed to be the easy part: containerize the pipeline, wrap it in a Lam...
Data insights in the wild
I’m a data scientist with 4 years of experience working on real-world machine learning and analytics projects. I enjoy building end-to-end data products and sharing what I learn along the way.
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