Summary
Ugur Koc is a senior AI R&D engineer who bridges deep academic research with production-grade engineering to solve privacy and software-quality challenges. With 11 years of experience and a Ph.D.-level research background from University of Maryland and Sabanci University, he has led work on automated test generation, debugging, and program analysis published in top venues. In industry he built automated privacy auditing and code-scanning capabilities at Amazon and Privado.ai, driving features like API activity discovery, data element detection, contract scanning, and performance optimizations. Known for turning empirical research into robust ML pipelines and developer-facing tools, he also champions AI adoption through company-wide bootcamps and hands-on leadership. Based in Virginia, he combines rigorous methodology with practical delivery—often delivering measurable privacy gains by applying program analysis techniques alongside applied ML.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree, Computer Science and Engineering, 3.8, Master’s Degree, Computer Science and Engineering, 3.8 at Sabanci University
The University of Maryland, College Park
Bachelor’s Degree, Computer Engineering, 3.77, Bachelor’s Degree, Computer Engineering, 3.77 at Fatih University
English, Turkish