Netflix built a Page Construction Architecture to deliver scalable, efficient, and personalized experiences across devices from phones to TVs. This talk introduces the API-driven system that centralizes content and module selection, decouples business logic from clients, and standardizes data models for faster innovation. We’ll highlight the Impression History Service API, which tracks interactions and enables near-real-time page optimization, driving consistency and personalization at scale.
Tulika Bhatt is a Senior Software Engineer at Netflix, specializing in Personalization Data Engineering. With nearly a decade of experience spanning industries such as digital media, fintech, and telecommunications, Tulika has a proven track record of leveraging data to drive impactful user experiences. At Netflix, Tulika manages datasets that power content recommendations for over 250 million plus subscribers, processing trillions of data points annually. Previously, she held key roles at BlackRock, developing cloud-native financial applications and optimizing machine learning workflows, and at Verizon, where she enhanced self-service adoption through innovative web solutions. An alumna of Columbia University (M.S. in Computer Science), Tulika is passionate about sharing knowledge through speaking engagements, mentoring aspiring engineers, and contributing to industry conversations on data-driven innovation.
Saurabh is a senior software engineer with over 10 years of experience. At Netflix, he develops scalable, low-latency pages on the Page Platform team, improving user experience for a global audience. Previously, at Google, he enhanced Play Store app discoverability as a search ranking engineer, impacting billions of users.
