Qun Gao
AI Framework Engineer at Intel
Albuquerque, New Mexico, United States
Summary
🤩
Rockstar🎓
Top SchoolQun Gao is an AI framework engineer with three years of focused experience in machine learning and low-level optimization, currently working on JAX/XLA performance at Intel from Albuquerque. With a Ph.D. background in electrical and computer engineering, Qun bridges deep device-level modeling and practical ML infrastructure—previous roles span device engineering for 3D NAND and multi-node predictive TCAD work to AI safety and quantization. He has a track record of turning complex physics and device models into production-ready tools and faster algorithms, and holds multiple patents from prior semiconductor R&D. Colleagues rely on his rare combination of quantum-informed modeling expertise and hands-on compiler/framework optimization skills to squeeze performance from hardware and software stacks.
3 years of coding experience
12 years of employment as a software developer
Xi'an Jiaotong UniversityPh.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at University of Florida
English, Chinese
Github Skills (52)
compressor10
auto-tuning10
face10
caffe10
intel10
targeting10
large-language-models10
pruning10
quantization-aware-training10
compression10
quantization10
copilot10
optimization10
summarization9
pytorch9
Programming languages (5)
Github contributions (5)
qgao007/ondeploy
Sep 2023 - Sep 2023
Contributions:14 pushes, 1 branch in 1 day
qgao007/pushme
Nov 2022 - Nov 2022
Contributions:4 pushes, 2 branches in 1 day
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