Bio
Tanmay Sah, PhD, is a quantitative modeler and AI researcher working at the intersection of predictive modeling, model risk, AI evaluation, and agentic AI systems. His notable work includes research on AI agent verification; TanML, an open-source automated machine learning model validation toolkit; and Decoding Reddit Memes Virality. He is especially interested in the next generation of trustworthy AI systems: agents that can reason, use tools, remain auditable, and operate safely under real-world constraints.
Sessions (2)
Additional Speaker Details
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Tanmay Sah is a practitioner-researcher who bridges quantitative finance and AI agent safety: a working Senior Quantitative Modeler at Zions Bancorporation who is simultaneously a PhD student at Harrisburg University publishing empirical research on why runtime safety enforcement degrades LLM agent task completion. Attendees building production agentic systems will find his data-driven framing of the safety-capability tradeoff directly actionable.