Vega
Software Engineer
Beijing, China
Summary
🤩
RockstarVega is a software engineer based in Beijing with 11 years of experience building cloud-native SaaS/IaaS and distributed systems, drawing on prior experience at Facebook. They focus on production-ready cloud services and AI-driven solutions, blending systems engineering with machine learning practice. On GitHub they contributed as an ML engineer to a notable real-time voice cloning project (MockingBird), refactoring audio preprocessing to support diverse datasets and improve model robustness. Vega brings practical expertise in scaling distributed architectures and integrating ML pipelines into service-oriented environments. Colleagues can expect strong hands-on coding, careful dataset engineering, and an emphasis on reliable, performant deployments.
11 years of coding experience
Github Skills (8)
pytorch10
deep-learning10
speech10
text-to-speech9
gtts9
freetts9
data-preprocessing8
python8
Programming languages (4)
Github contributions (5)
babysor/MockingBird
Aug 2021 - Dec 2022
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 55 reviews, 139 commits in 1 year 4 months
Contributions summary:Vega primarily focused on refactoring the preprocessor of the synthesizer to support more datasets. The changes involved modifications to `synthesizer/preprocess_speaker.py`, indicating the user was working on audio preprocessing pipelines. The commits suggest an involvement in dataset integration and optimization, potentially related to enhancing the model's ability to handle different speech datasets for voice cloning.
pytorchdeep-learningspeech-to-textspeech-recognitionarbitrary
babysor/babysor
Aug 2021 - Oct 2021
Contributions:3 commits, 1 push, 1 branch in 2 months
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