Leads validation, testing, and monitoring of production AI/ML models for Trinnex's smart water-management products: building automated test frameworks, tracking drift, assessing explainability, and writing validation reports. Stack includes Python, SQL, Git, geospatial tools, MLflow/pytest-style frameworks, and Docker/Kubernetes on GCP.
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