Shao-wen Yang
Applied Science Manager at Amazon
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolShao-wen Yang is an Applied Science Manager at Amazon with eight years of industry experience bridging research and production in speech and audio foundation models. He progressed from senior research roles at Intel Labs to leadership at Amazon, blending hands-on modeling with team and program management. His open-source contributions include backend and DevOps improvements to s3prl, a notable self-supervised speech representation toolkit, reflecting attention to reproducibility and performance. With a Ph.D. in Computer Science from National Taiwan University, he brings deep academic rigor to applied ML problems. Colleagues value his ability to translate cutting-edge research into scalable systems and to optimize engineering workflows behind the scenes. He is based in New York and focuses on making speech/audio models robust and production-ready.
8 years of coding experience
7 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at National Taiwan University
Github Skills (4)
build-automation10
python10
refactoring8
refactor8
Programming languages (4)
Github contributions (5)
s3prl/s3prl
Sep 2019 - Nov 2022
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Role in this project:
Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:2 releases, 101 reviews, 1738 commits in 3 years 2 months
Contributions summary:Shao-wen appears to be responsible for refactoring the project to use the `tqdm` library's auto feature, a minor change to the code. Additionally, the user supported a new module for audio processing. Finally, they added support to test files and make sure speed is normal, suggesting improvements to the overall build of the project. The user also adjusted settings for building the project.
vq-apcspeech-representationdecoarrepresentation-learningspeech-recognition
leo19941227/leo19941227.github.io
Nov 2017 - Jan 2021
Contributions:2 PRs, 30 pushes, 17 branches in 3 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.