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  "_file": "domain/stack-profiles/deep-stacks-4.yaml",
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  "attributes": {
    "displayName": "Synthetic Data Generation Stack (Python, PyTorch, FastAPI, PostgreSQL, S3)",
    "description": "A synthetic data generation platform that uses PyTorch-based generative\nmodels (GANs, VAEs, diffusion models) to produce realistic tabular,\ntext, and image datasets that preserve statistical properties of\nproduction data without exposing PII. FastAPI exposes generation and\nvalidation endpoints while PostgreSQL tracks generation jobs, dataset\nmetadata, and quality metrics. Boto3 manages dataset storage in S3.\nNumPy and pandas handle data profiling and statistical comparison\nbetween real and synthetic distributions. Targeted at ML teams in\nregulated industries (healthcare, finance, insurance) where production\ndata access is restricted. The tradeoff is fidelity validation —\nproving that synthetic data adequately represents the real distribution\nwithout memorizing individual records requires sophisticated\nstatistical testing and domain expertise.\n",
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