Yun Huang
Member Of Technical Staff at Pure Storage
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYun Huang is a seasoned software engineer with 13 years of experience building large-scale systems across Google, Epic Systems, and now Pure Storage, blending deep research training (PhD in Computer Science from National University of Singapore) with practical production delivery. He has strong NLP and speech-tech roots—evidenced by contributions to a Chinese text-to-speech engine where he implemented core C++ backend components, tests, and build tooling—and a history of working on real-time collaboration services like Google Meet. Yun’s background spans healthcare, cloud-scale communication, and storage infrastructure, giving him a rare cross-domain perspective on reliability and user-facing performance. Colleagues describe him as a pragmatic engineer who pairs academic rigor with hands-on implementation, often improving systems by contributing both algorithms and the plumbing that makes them deployable.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Peking UniversityMaster of Engineering (MEng), Natural Language Processing, Master of Engineering (MEng), Natural Language Processing at Institute Of Computing Technology, Chinese Academy Of SciencesDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at National University of Singapore
Chinese, English, Japanese
Stackoverflow
4,326reputation
350kreached
9answers
21questions
Github Skills (14)
gtts10
freetts10
text-to-speech10
ch10
cprogramming-language9
c-language9
bash8
testing7
ubuntu6
linux6
constructor6
pcre6
libtool6
gcc6
Programming languages (4)
Github contributions (5)
hgneng/ekho
Apr 2016 - Apr 2016
Chinese text-to-speech engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits, 71 pushes, 6 branches in 15 days
Contributions summary:Yun primarily focused on developing the text-to-speech engine, as indicated by the repository's description. Their contributions include adding core functionality through the implementation of `libekho_impl.cpp` and related header files. The user also created test scripts and modified build configurations.
chinesecantonesespeech-to-textspeech-recognitionspeech-synthesis
huangyunict/redfin_houses
Apr 2018 - Jul 2020
Contributions:33 commits, 6 PRs, 22 pushes in 2 years 3 months
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