Edward Li

Edward Li is a software engineer on the Detection Signals and Serving team at Abnormal AI, where he has been instrumental in developing and improving the company's core detection technologies. His work has focused on a wide range of projects, including building a signal monitoring system to visualize signal trends and alert on data drift, creating a testing framework to evaluate the impact of major code changes with live traffic, and implementing fault-tolerant scoring. Prior to joining Abnormal, Edward earned his undergraduate degree in Computer Engineering from the University of Waterloo.