Summary
Umit Yoruk is a software engineer with a decade of experience building backend and cloud infrastructure systems, currently contributing to Google’s cloud backend after senior backend roles at Oracle. He combines deep academic expertise—a PhD in Electrical Engineering from Stanford—with practical skills in machine learning, image processing, C/C++, Matlab, and low-level embedded work such as assembly and microcontroller interfacing. His research background includes automatic MRI segmentation and fast pediatric image reconstruction, giving him a rare blend of production-grade backend engineering and medical imaging ML. Known for bridging theory and large-scale systems, he has worked across industry leaders (Google, Oracle, Apple) and academia, and often applies data mining and Hadoop techniques to scale ML and image-processing pipelines.
10 years of coding experience
8 years of employment as a software developer
Electrical Engineering, Electrical Engineering at Boğaziçi University
Graduate Coursework, Electrical Engineering, Graduate Coursework, Electrical Engineering at Purdue University
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Stanford University