Shujian Liu
Senior Machine Learning Engineer at Zoom
Newton, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolShujian Liu is a Senior Machine Learning Engineer with 11 years of experience building production ML systems across search, travel, speech, and NLP at companies including Zoom, Google, and Wayfair. He holds a Ph.D. in Mechanical Engineering and blends strong research rigor with hands-on engineering—founding an embedding-based neural search at Wayfair and shipping travel planning generative AI at Google. A Kaggle triple master and active open-source contributor, he has contributed maintenance and fixes to the widely used Kaldi speech toolkit, reflecting deep domain expertise in speech recognition. He also mentors data science communities (Insight fellow), writes about practical ML techniques on his blog, and surprises colleagues with a Certificate in Wine Studies — a hint of curiosity beyond code.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Yanshan UniversityDoctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of Massachusetts AmherstCertificate Wine Studies, Certificate Wine Studies at Boston University
Github Skills (7)
speech-to-text10
kaldi10
speech-recognition10
shell10
cpp10
cplus10
cuda5
Programming languages (7)
Github contributions (5)
kaldi-asr/kaldi
Mar 2019 - Jan 2020
kaldi-asr/kaldi is the official location of the Kaldi project.
Role in this project:
Backend Developer
Backend DeveloperContributions:14 PRs, 2 comments in 9 months
Contributions summary:Shujian primarily contributed to bug fixes and minor improvements within the Kaldi speech recognition project. Their work involved correcting typos in scripts, updating file paths, and removing outdated comments. These changes targeted various scripts related to data processing and model training, suggesting a focus on maintaining the project's functionality and addressing issues in existing code. The user's commits also touched on aspects related to the ASPire example, indicating familiarity with specific project configurations.
cudakaldiasrspeech-to-textkaldi-asr
Shujian2015/WInDS_Linux
May 2016 - May 2019
Contributions:23 commits, 1 PR, 7 pushes in 3 years
v14linuxwinds
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