Diane Feddema is a Principal Software Engineer at Red Hat Inc in the Performance and Scale Team with a focus on AI/ML applications. She has submitted official results in multiple rounds of MLCommons MLPerf Inference and Training, dating back to the initial MLPerf rounds. Diane Leads performance analysis and visualization for MLPerf benchmark submissions and collaborates with Red Hat Hardware Partners in creating joint MLPerf benchmark submissions.
Diane has a BS and MS in Computer Science and is presently co-chair of the Best Practices group of the MLPerf consortium.
