Adi Polak is an experienced software engineer and people manager focused on data, AI, and machine learning for operations and analytics. She has built algorithms and distributed data pipelines using Spark, Kafka, HDFS, and large-scale systems, and has led teams to deliver pioneering ML initiatives. An accomplished educator, she has taught thousands of students how to scale machine learning with Spark and is the author of Scaling Machine Learning with Spark and High Performance Spark (2nd Edition). Earlier this year, she began exploring data streaming with Flink and ML inference, focusing on high-performance, end-to-end systems.