Summary
Yavuz Yetim is a Principal Engineer based in Sunnyvale with nine years of experience building large-scale AI infrastructure and productionizing deep learning models. He has led ML systems and low-latency, high‑QPS model serving across Meta and Google, driving personalization, model upscaling, and recommendation improvements for Ads, IG Stories, Reels and News Feed. His background blends a Princeton PhD in electrical engineering with hands-on expertise in high-performance networking, TensorFlow, and streaming computation on error‑prone processors, which informs robust designs for fault-tolerant ML pipelines. Known for moving research into production at web scale, he focuses on scalable model training, generation, and serving across CPU/GPU clusters. An engineer who combines academic rigor with product-driven impact, he’s comfortable navigating both infrastructure bottlenecks and algorithmic trade-offs to improve model quality under real-world constraints.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Boğaziçi University
Izmir Fen Lisesi
PhD, Electrical Engineering, PhD, Electrical Engineering at Princeton University
Turkish