About

Jiaduo He is an experienced Software Engineer with over 7 years of relevant experience in large scale real-time, batch data processing systems, database and query processing systems, and Machine Learning. Currently working at Google as a Software Engineer, Jiaduo is involved in F1 Query and Distributed Execution, and has contributed to the development of the ETL platform for real-time and batch data processing, as well as data flow execution planning and scheduling. Jiaduo's past experience includes working at Google and Uber, where he was involved in developing Knowledge Graph Infrastructure and Maps Geospatial Search, respectively. At Uber, he was responsible for developing machine learning algorithms for pickup/drop-off prediction and personalization, as well as a reverse geocoding service. Jiaduo holds a Master's degree in Information Technology from Carnegie Mellon University and a Bachelor's degree in Computer Engineering from the University of Wisconsin-Madison. He has a strong tech stack that includes Software Engineering, Machine Learning, ETL, infra, and Search. Jiaduo is currently not looking for new opportunities, but his impressive experience and expertise make him a valuable addition to any team in the future.