About Chloe

She has implemented monitoring frameworks for model drift, performance, and bias, as well as auditing and versioning systems. She often contributes to defining internal policies for responsible ML usage.

Her approach is governance-driven, emphasizing observability, explainability, and control in production ML systems

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