Ameen Kazerouni

Head of Machine Learning Research and Platforms

Ameen Kazerouni moved from Mumbai, India to start his Bachelors in Computer Science at 16. After developing a keen interest in both AI and Medicine he proceeded to start his Ph.D. in Biomedical Informatics at Emory University. His research covered wrangling data from Whole Slide Images, pathology reports and clinical data to build datasets for cohort discovery and analysis. During his tenure at Emory, he decided to do a short internship at Zappos to see what life was like outside the ivory tower. He decided to leave the Ph.D. program early, earning a Masters in Computer Science with a focus in Machine Learning. Ameen currently leads the Data Science and Machine Learning platform team at Zappos, where he uses his passion for machine learning and AI to find new and innovative ways to move the company forward using data.

Tuesday, October 1
10:50 am
11:15 am
Robertson 1
Search is the first line of defense when it comes to a customer looking for what to buy on an e-commerce website. If a customer can’t find what they are looking for you are likely to lose the customer or worse never acquire them. In addition to being critical to the E-Commerce experience, providing personalized search results pose a challenging and intellectually stimulating engineering problem. In this session, we will use Search as a case study to focus on the technology that allows us to serve these models in highly scalable production environments. We will go over the platforms that power Zappos’ personalized search engine, focusing on model retraining strategies, automated model deployments, and the microservice APIs that expose these powerful machine learning algorithms to the customers, while meeting Tier 1 Latency SLAs.
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