Personalization at scale: Challenges and practical techniques
Who is this presentation for?
- Software engineers, machine learning engineers, applied scientists, and technical managers
Hagay Lupesko explores AI-powered personalization at Facebook and the challenges and practical techniques it applied to overcome these challenges. You’ll learn about deep learning-based personalization modeling, scalable training, and the accompanying system design approaches that are applied in practice.
- Experience with software engineering
- A basic knowledge of recommender systems and deep learning
What you'll learn
- Learn how industry's cutting edge personalization models and systems are designed, implemented and deployed.
Hagay Lupesko is an engineering leader on the AI applied research team at Facebook, where he focuses on Facebook’s AI-powered personalization platform used across Facebook’s family of apps and services. Hagay has been busy building software for the past 15 years and still enjoys every bit of it (literally). He engineered and shipped products across various domains from 3-D cardiac imaging with real-time in-vessel tracking to web-scale systems with global distribution to deep learning frameworks and tools used by engineers and scientists worldwide.
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