---
title: "Tanmay Sah"
category: "people"
role: "Senior Quantitative Modeler"
company: "Zions Bancorporation"
linkedin: "https://www.linkedin.com/in/tanmay-sah/"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Tanmay Sah

## Profile
Senior Quantitative Modeler at [[zions-bancorporation|Zions Bancorporation]].

- [LinkedIn](https://www.linkedin.com/in/tanmay-sah/)

## Biography
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.

## Conference Sessions
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-1-of-2]] — 2 hr deep dive on LLM Inference at Scale — Part 1 of 2 (2026-06-29, 12:10pm-1:10pm)
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-2-of-2]] — 2 hr deep dive on LLM Inference at Scale — Part 2 of 2 (2026-06-29, 1:15pm-2:15pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-1-of-2|2 hr deep dive on LLM Inference at Scale — Part 1 of 2]]
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-2-of-2|2 hr deep dive on LLM Inference at Scale — Part 2 of 2]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.
