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Feature Store Service

Implements Feast-compatible feature store with entity definitions, feature views, and materialization pipelines. Computes real-time features (engagement rates, recent activity) and batch features (historical performance, audience demographics).

Agent ID
feature-store-service
Sector User-Generated Content (UGC) & Creator Economy
Status
Operational

Problem Statement

The challenge addressed

ML models require consistent, up-to-date features computed from raw creator data. Manual feature engineering leads to training-serving skew and inconsistent predictions.

Core Logic

How the agent solves it

Implements Feast-compatible feature store with entity definitions, feature views, and materialization pipelines. Computes real-time features (engagement rates, recent activity) and batch features (his...

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