Tanmay Sah
Senior Quantitative Modeler, Zions Bancorporation
Speaking in 2 sessions at AI Engineer World's Fair 2026 — unofficial import demo
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
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.