Yi-hsiang Lai
Applied Scientist at Amazon Web Services (AWS)
California, United States
Summary
🤩
Rockstar🎓
Top SchoolYi-hsiang Lai is an Applied Scientist at Amazon Web Services with 11 years of experience combining academic rigor and production ML systems engineering. He holds a PhD in Electrical and Computer Engineering from Cornell and has focused on compiler and hardware-aware ML tooling, contributing to SageMaker inference and training compiler work. His background includes research internships at AWS and Intel Labs with publications on high-performance systolic arrays and ML systems, signaling deep expertise in mapping models to efficient hardware. Based in California, he bridges research and productization—taking ideas from PhD-level research to scalable cloud deployments—and often works at the intersection of compilers, hardware, and machine learning performance.
11 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Taiwan UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Cornell University
Chinese, English, German, Italian, Japanese
Github Skills (43)
opencl10
vulkan10
pytorch10
javascript10
python10
dsl10
cpu10
gpu-programming10
acceleration10
machine-learning10
numpy10
metal10
infrastructure10
deep-learning10
tensorflow10
Programming languages (4)
Github contributions (5)
seanlatias/heterocl
May 2019 - Sep 2021
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
Contributions:230 pushes, 28 branches in 2 years 3 months
multi-paradigmheterogeneous-computingheterogeneousdefinedinfrastructure
seanlatias/ntuchorus
Feb 2015 - Jan 2022
Contributions:7 pushes in 7 years
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