Mrinank Sharma is an AI safety researcher focused on making machine learning systems robust and trustworthy. His work spans interpretability, evaluation, and alignment, helping developers and policymakers build safer models. Labs, research institutions, and anyone deploying AI benefit from his contributions to reducing risks in real-world applications.
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