Metehan Cekic is an Applied Scientist II at Amazon with eight years of experience building production-grade speech and audio intelligence, currently focusing on real-time Acoustic Event Detection for Ring AI. He has a strong research foundation from a Ph.D. in Electrical and Computer Engineering at UC Santa Barbara and a track record at AWS developing ASR and conversational AI for Lex and Alexa, including self-supervised approaches that yielded significant speaker recognition gains. Comfortable moving models from lab to product, he blends deep learning research—robust training and rejection mechanisms—with practical system design for real-time inference. A dual-engineering and physics undergraduate from Boğaziçi University, Metehan regularly publishes blog posts and shares code and papers on his website, reflecting a commitment to clear knowledge transfer beyond typical research output.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at UC Santa Barbara
Exchange Program, Exchange Program at University of California, Los Angeles
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Boğaziçi University
This repository contains codes for wireless-fingerprinting.
Contributions:57 commits, 1 PR, 37 pushes in 2 years 3 months
wirelessfingerprinting
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