Note - this section below is enhanced by LinkedIn AI Assistant. As the Director of Engineering of Search, Recommendations and Personalization at UberEats, I lead several teams that work on cutting-edge machine learning and artificial intelligence solutions for feed relevance, recommendation systems, search relevance, semantic retrieval, query/document understanding, checkout recommendation, multi-objective optimization, multi-tasking deep learning, natural language processing, and more. Our mission is to support the hyper growth of Uber's multi-vertical delivery business, such as Eats, Grocery, Alcohol, Prescription, and others, by providing a more efficient and personalized three-sided delivery marketplace and a more data-driven business strategy.I have over 15 years of experience in applying state-of-the-art machine learning and artificial intelligence technology to solve challenging large-scale real-world problems across various domains, such as transportation, e-commerce, social media, and hospitality. I am passionate about building high-performance engineering teams, architecting scalable and reliable technical solutions, and delivering delightful customer experiences. I have successfully led and shipped several end-to-end products that have had a significant impact on millions of users and generated substantial business value. I am always eager to learn new skills, explore new opportunities, and collaborate with diverse and talented people.
Listed skills include Information Retrieval, Distributed Systems, Linux, Algorithms, and 16 others.