Ryley Higa is a Machine Learning Engineer at Sumo Logic, leveraging expertise in anomaly detection and algorithm optimization since May 2019. Notable contributions include the development of the "Smart Monitors" ML system and enhancements to the log clustering product. Prior experiences include roles as a Data Insights Intern at Sumo Logic, an Artificial Intelligence Teaching Assistant, and an Algorithms Course Assistant at the University of Illinois at Urbana-Champaign, where Ryley played key roles in supporting student learning and project assessments. Internships at Hoana Medical Inc, Oceanit, and Eyegenix involved advanced projects in neural networks, data modeling, and statistical analysis. Ryley holds a Bachelor's degree in Computer Engineering from the University of Illinois Urbana-Champaign.