Summary
Baris Yamansavascilar is a Senior Research Engineer and PhD candidate with over a decade of experience applying ML and DL to networking and edge systems. He has led production ML projects at Airties—delivering a traffic classification pipeline that improved QoS and a hardware-aware DL stack that exceeded prior models with >94% accuracy—and previously built a WiFi 6 OFDMA scheduler that raised throughput by 40%. As an academic researcher at Boğaziçi University he coined the "air computing" paradigm, published multiple IEEE papers, and developed AirCompSim and DRL orchestrators that measurably improved task success and QoE. He combines systems-level engineering, simulation, and deployable AI, with a track record of translating research into product features and mentoring engineers. Based in Istanbul, he brings rare domain depth in wireless/edge networking and practical constraints-aware ML for real-world devices.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Yıldız Teknik Üniversitesi
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Boğaziçi University
Turkish, English, French