Danish Shaikh is an engineering lead with over 12 years of experience building ML/AI solutions for large-scale recommender systems across some of the biggest names in tech — Meta, Twitter, Roku, Alibaba, and Rakuten. Over the course of his career, he has led teams building ML/AI products with surface touchpoints reaching hundreds of millions of users. His current work involves building Agentic AI solutions for Ads Ranking models. Previously, he led ML Infrastructure for Search and Recommendations at Roku — powering ML across all of Roku's product surfaces — and built the ML systems behind Twitter's Recommended Notifications, which served billions of notifications daily. His research interests lie in optimizing architectures for large-scale recommender systems and Agent AI systems for cost-effective, production-scale deployments."