Nadia Rahman

ML platform lead · ex-fintech

Guest

Nadia leads ML platform at a payments company processing $40B a year. Before that she spent four years at a research lab working on model evaluation. She writes a monthly memo on what breaks when research models meet fraud, chargebacks, and regulators.

Topics

Artificial Intelligence
Product Management
Software & Technology

As a guest

Expertise: Shipping ML in regulated environments. Nadia's team cut false-positive fraud declines by 31% while passing two SOC 2 audits.
Talking points: Why evals are a product problem, not a research problem
ML under regulators: what auditors actually ask for
The unglamorous work between a demo and a deployment
Proof: Talk: ML in production
Eval checklist

Links & availability

Writing

Time zone: America/Toronto

Generally free: Tue · 9 AM–12 PM; Thu · 9 AM–12 PM

Tue/Thu mornings ET

Achievements

★ Published

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