Chi Zhang

Deputy Director COMAC AI Innovation Center

Sunnyvale, California, United States
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Summary

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Senior
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Top School
Chi Zhang is a senior data scientist and AI leader with a PhD in electrical engineering and a decade of research plus eight years of industry experience building robust speech and NLP systems for weak and far-field signals. Currently Deputy Director of COMAC's AI Innovation Center, he leads development of airborne voice interaction, domain-specific large-scale models, and corporate AI roadmaps that span design, manufacturing, and flight operations. His career blends deep academic expertise in whispered and low-SNR speech processing with hands-on delivery of multilingual ASR, edge inference, and large-scale language-skill analytics at companies like Appen and Carnegie Speech. Skilled across Python, Matlab, Java and C/C++, Chi is notable for translating speech research into production-grade systems for constrained, safety-critical environments.
code10 years of coding experience
job16 years of employment as a software developer
bookPhD Electrical Engineering, PhD Electrical Engineering at The University of Texas at Dallas
bookMaster Electrical Engineering in Signal Processing, Master Electrical Engineering in Signal Processing at Aalborg University
bookBachelor Electrical Engineering, Bachelor Electrical Engineering at Nanjing University of Aeronautics and Astronautics
languagesChinese, English
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Github Skills (32)

gender-classification10
topic-detection9
speaker-identification8
speech8
accent-detection8
speech-processing8
datasets7
speech-recognition7
scale6
voice-activity-detection6
pipeline6
large-scale6
speaker-diarization6
auditing5
ctc5

Programming languages (6)

C++ShellCForthJavaScriptPython

Github contributions (5)

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chizhang0814/kaldi

Sep 2019 - Aug 2020

This is the official location of the Kaldi project.
Contributions:4 PRs, 25 pushes in 11 months
kaldijstreelocationmulticlass-classification
chizhang0814/pytorch-kaldi

Sep 2019 - Aug 2020

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Contributions:2 PRs, 3 pushes in 11 months
extractiondevelopingasrctcspeech-recognition
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Chi Zhang - Deputy Director COMAC AI Innovation Center