Gary Wang
New York, New York, United States
Summary
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SeniorGary Wang is a Senior Software Engineer with a decade of experience specializing in deep learning for speech technologies, including ASR, TTS, and deep reinforcement learning, now contributing to Gemini Audio Research at Google DeepMind. He transitioned from a chemical engineering background in batteries and fuel cells to machine learning, bringing a rare blend of physical-science rigor and ML research practice. At Google he progressed from research intern roles on the Speech team to machine learning engineer and now senior engineer at DeepMind, publishing and implementing production-focused models for audio. An active GitHub contributor, his projects showcase practical research-to-code work that bridges prototype TTS/ASR systems and scalable engineering. He is based in New York and combines strong research instincts with hands-on system-building for speech AI.
11 years of coding experience
Github Skills (34)
text-to-speech10
speech10
regularization9
pytorch9
python9
speech-synthesis9
vocoder9
pruning9
jupyter-notebook8
phoneme8
deep-learning8
paper8
reinforcement-learning8
convolutional-neural-networks8
algorithms8
Programming languages (2)
Github contributions (5)
G-Wang/WaveRNN-Pytorch
Aug 2018 - Mar 2019
Fatcord's Alternative WaveRNN (Faster training)
Contributions:35 commits, 28 pushes, 2 branches in 7 months
G-Wang/Text2Speech-Pytorch
Nov 2018 - Dec 2018
Contributions:9 commits in 26 days
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