Kyuyeon Hwang
Machine Learning Researcher, Siri Speech at Apple
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolKyuyeon Hwang is a Machine Learning Researcher on Apple's Siri Speech team with 11 years of experience bridging deep learning, speech recognition, and GPU-accelerated parallel processing. He holds a Ph.D. in Electrical Engineering and Computer Science from Seoul National University and began contributing to Siri as an intern before joining the team full-time in 2017. His background includes accelerating Monte Carlo proton-beam simulations at IBM Research, reflecting a strong foundation in numerical methods and performance engineering. At Apple he applies that compute-focused mindset to production-quality speech models, optimizing both accuracy and latency for real-world voice assistants. Colleagues describe him as a researcher-engineer who moves ideas from prototype to deployment while keeping an eye on hardware constraints. Based in the San Francisco Bay Area, he blends rigorous academic training with practical system-level optimization.
11 years of coding experience
Bachelor's Degree, Electrical and Computer Engineering, Bachelor's Degree, Electrical and Computer Engineering at Seoul National University
English, Korean, Japanese, c++
Github Skills (3)
recurrent7
fractal7
architecture4
Github contributions (1)
KyuyeonHwang/Fractal
Jan 2015 - Feb 2017
Contributions:23 commits, 1 PR, 19 pushes in 2 years
flexibletrainingfractalarchitecturerecurrent
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