Chien Yu
軟體工程師 at 谷歌
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolChien Yu is a versatile software engineer currently contributing at Google, blending systems programming, cloud migration, and machine learning. His career spans Edgecore Networks, Trend Micro, and high-scale cloud environments, where he has built and migrated high-throughput services in C, C++, and Rust. At Trend Micro, he led an AI project PoC that advanced to development and orchestrated migrations of EC2 services to EKS, plus a large CDN transition. On the ML side, he contributes to SpeechBrain as an ML engineer, focusing on data preparation for the DNS challenge, spectral enhancement models, and adding PESQ and STOI evaluations. Based in New Taipei, Taiwan, he holds an MS in Computer Science from NTUST and a BS from National Chiayi University, and he is adept at turning ambitious requirements into scalable, production-ready solutions.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 3.83/4.3, Master's degree, Computer Science, 3.83/4.3 at National Taiwan University of Science and TechnologyBachelor's degree, Computer Science, 2.72/4.0, Bachelor's degree, Computer Science, 2.72/4.0 at National Chiayi University
English, Chinese
Github Skills (18)
pytorch10
data-prep10
speech-enhancement10
machine-learning10
audio-processing10
data-preprocessing10
dataprep10
spectra9
fasterrcnn9
transformers9
spec9
spectral9
spectrum9
frequency-analysis9
mask-rcnn9
Programming languages (2)
Github contributions (5)
speechbrain/speechbrain
May 2020 - Nov 2020
A PyTorch-based Speech Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:56 commits in 6 months
Contributions summary:Chien's commits primarily involve data preparation scripts for the DNS challenge dataset, a speech enhancement task. These scripts prepare CSV files, split data into segments, and mix training data. Furthermore, the user modifies the model for spectral enhancement by adding the CNNTransformerSE model and making modifications to the processing workflow. Finally, the user also adds the PESQ and STOI metric evaluation.
voice-recognitionasrspeech-recognitionspeech-separationspeaker-verification
jerrygood0703/speech-enhancement-WGAN
Aug 2017 - Apr 2018
Contributions:32 commits, 26 pushes, 4 branches in 8 months
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