Sefik Eskimez
Research Engineer at Sesame
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolSefik Eskimez is a research engineer with a decade of experience advancing deep learning for multi-modal signal processing, currently focused on speech and NLP at Microsoft and now at Sesame in Bellevue. He holds a PhD in Electrical and Computer Engineering from the University of Rochester and has led work across personalized speech enhancement, acoustic echo cancellation, speech super-resolution, emotion recognition, and speaker verification. Known for bridging rigorous academic research with product-oriented solutions, he repeatedly ships models that improve real-world audio quality and speaker understanding. His background in mechatronics and robotics, combined with hands-on roles from controls engineering to principal research positions, gives him a rare systems-level perspective on sensor fusion and generative models. Colleagues rely on him for both novel algorithms and practical deployment strategies that scale to consumer and cloud services.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering at Sabanci UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Rochester
Turkish, English
Github Skills (10)
condition10
face-generation10
speech9
face-landmarks9
face9
speech-recognition6
emotion6
pytorch5
deep-learning4
replication1
Programming languages (1)
Github contributions (5)
eeskimez/Talking-Face-Landmarks-from-Speech
Feb 2018 - Jan 2020
Generating Talking Face Landmarks from Speech
Contributions:13 commits, 13 pushes, 1 branch in 1 year 11 months
speech-recognitionface-landmarkslandmarksfacespeech
eeskimez/noise_resilient_3dtface
Jan 2020 - Mar 2022
Contributions:11 commits, 5 PRs, 9 pushes in 2 years 2 months
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