Daniel Chen
Senior Software Engineer at Google DeepMind
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Chen is a Senior Software Engineer and machine learning practitioner with 11 years of experience applying academic research to production voice and sensing systems. Based in San Jose, he has built text-to-speech and voice technologies at Google and DeepMind used across Gemini, YouTube, Maps, and Project Astra, drawing on a strong foundation in signal processing, IoT, and NLP. His background includes graduate research on Monte Carlo localization and acoustic inference, hardware-focused sensor estimation at Google, and in-car recommendation and simulation systems at Mercedes-Benz R&D. Comfortable moving models from research to product, he combines deep mathematical instincts with practical engineering—he even cut his teeth building games and sensor libraries early in his career.
11 years of coding experience
14 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of Illinois Urbana-ChampaignBachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at University of California, Los Angeles
English, Chinese, Spanish
Github Skills (6)
akeeba5
simulation1
raven1
simulator1
internal-project1
hardware1
Programming languages (1)
Github contributions (5)
dchen82/github-for-developers-7
Nov 2015 - Nov 2015
Contributions:4 PRs, 6 pushes, 5 branches in 1 day
CSLDepend/raven2_sim
May 2015 - Mar 2017
Contributions:41 commits, 31 pushes in 1 year 10 months
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