Summary
Berkay Barlas is a software engineer based in California with eight years of experience building data-intensive web applications and cloud-native systems. He combines front-end expertise (React) with back-end and AWS architecture experience, having implemented scalable ML-enabled projects from an IoT nutrition tracker to a fundus-image disease classifier. Berkay has shipped production features at startups and tech giants alike—contributing to performance-critical work at Vagon, open-source improvements in Firefox at Mozilla, and internships at Google and Apple before joining Apple full-time. He has a multidisciplinary academic background spanning electrical engineering and computer science degrees from institutions including Koç University and Georgia Tech, which fuels his comfort with both hardware-integrated prototypes and large-scale web services. Notably, he led front-end teams to boost live-stream performance and reduced fraud at Vagon, and he built end-to-end ML + cloud systems early in his career, showing a pattern of turning research-grade prototypes into production-ready products. Always seeking harder problems, he blends curiosity-driven tinkering with pragmatic engineering to deliver measurable impact.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BSc, Computer Science, Bachelor of Science - BSc, Computer Science at Koç University
Bachelor's degree, Informatics, Bachelor's degree, Informatics at Technical University of Munich
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Nanyang Technological University Singapore
Ranked 1st in School, Ranked 1st in School at Tokat Fen Lisesi
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Turkish, English, German