Juan Martinez, PhD | Source | Machine Learning Engineer at ValidMind
Juan Martinez, PhD
Machine Learning Engineer at ValidMind
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Juan is a Machine Learning Engineer at ValidMind. He builds ML and GenAI validation tools for ValidMind’s framework. Juan handles end-to-end automated validation workflows tailored to financial services (LLMs, Time Series, Credit Risk, Market Risk). He is a contributor of open-source ValidMind’s Python package for automated validation of ML and GenAI models.
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ValidMind
Machine Learning Engineer
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Synthetic Data: The Future of AI Training or a Risky Shortcut?
Juan explains that synthetic data is rapidly growing due to privacy concerns and data scarcity. Hyperscalers like Amazon and Alphabet use it to train AI models. Benefits include cost-effectiveness and speed, but risks involve potential biases and overfitting. "Synthetic data might not capture real-world complexity," Juan warns, leading to flawed AI performance.
