Configured a GenAI synthetic data pipeline using OCI AI APIs generating up to 2M semantically coherent rows/min for large-scale ML training datasets. Generated pattern-consistent synthetic datasets with realistic temporal drift and cluster structures for ML model training and validation. Demonstrated enterprise impact through VP-level technical presentation, validating GenAI-driven data generation for production analytics workflows. Deploying the platform across three engineering teams in India, integrating GenAI data generation into production ML and analytics pipelines.