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
AI Engineering that Delivers: Blueprint to Impact
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.
