Metehan Cekic

Applied Scientist II at Amazon

Bellevue, Washington, United States
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Summary

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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.
code8 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at UC Santa Barbara
bookExchange Program, Exchange Program at University of California, Los Angeles
bookBachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Boğaziçi University
languagesTurkish, German, English
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Stackoverflow

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1reputation
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0questions
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Github Skills (7)

fingerprinting9
wireless9
toolbox8
tensorflow5
deep-learning5
pytorch5
jax2

Programming languages (1)

Python

Github contributions (5)

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metehancekic/deep-illusion

Apr 2020 - May 2021

Adversarial attack toolbox for Pytorch, Tensorflow, and Jax
Contributions:32 releases, 174 commits, 3 PRs in 1 year
pytorchdeep-learningadversarialtoolboxjax
This repository contains codes for wireless-fingerprinting.
Contributions:57 commits, 1 PR, 37 pushes in 2 years 3 months
wirelessfingerprinting
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Metehan Cekic - Applied Scientist II at Amazon