Summary
Hilmi Egilmez is an engineer with nine years of experience specializing in machine learning, signal and multimedia processing, and networked systems, currently applying AI to video coding and processing at Apple in Cupertino. He holds a Ph.D. in Electrical Engineering from USC and progressed from academic research into industry roles at Qualcomm and internships at LG and other global firms, bringing deep domain knowledge in optimization and multimedia communications. At Qualcomm he advanced from senior to staff engineer before joining Apple, demonstrating a track record of moving research innovations into production-grade systems. Known for bridging theoretical signal-processing techniques with practical ML-driven codecs, he combines rigorous academic training with hands-on implementation experience in large-scale video and communications products.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at University of Southern California
Master of Sciences, Electrical and Electronics Engineering, Master of Sciences, Electrical and Electronics Engineering at Koç University
High School Diploma, Mathematics & Science, High School Diploma, Mathematics & Science at Sivas Fen Lisesi