Track Host: Faye Zhang

Staff Software Engineer @Pinterest, Tech Lead on GenAI Search Traffic Projects, Speaker, Expert in AI/ML with a Strong Background in Large Distributed System

Faye is a Staff Software Engineer at Pinterest, where she leads AI-driven search traffic initiatives and launched the company's first successful GenAI production experiment, driving significant user engagement growth. With a Computer Science degree from Georgia Tech and ongoing AI graduate studies at Stanford, she combines deep technical expertise in distributed systems with cutting-edge AI research. Her work spans both industry and academia, including contributions to university genomic science research. She regularly shares insights on AI innovation at technical conferences in San Francisco and Paris, focusing on scalable AI solutions that transform user experiences.

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Track

AI Engineering that Delivers: Blueprint to Impact

This engineering-focused track showcases battle-tested architectural decisions and implementation frameworks that transform theoretical GenAI concepts into production systems, equipping technical leaders with concrete approaches for building LLM infrastructure and applications that scale reliably and deliver measurable business impact

Date

Tuesday Nov 18 / 10:35AM PST

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Session

From Reinforcement Learning Enhanced Image to AI Collection Generation: How Pinterest Cracked the Code on Content Discovery

his talk presents Pinterest's journey in deploying AI at massive scale, from using Reinforcement Learning to create images to building 

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Date

Tuesday Nov 18 / 11:45AM PST ( 50 minutes )

Location

Ballroom BC

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