Xin Chen
Machine Learning Software Engineer at Intel Corporation
California, United States
Summary
👤
Senior🎓
Top SchoolXin Chen is a machine learning software engineer and systems architect with over a decade of hands-on experience building large-scale AI, computer vision, and efficient on-device models. Currently at Intel, he previously led research and engineering across industry and academia—designing petascale training platforms, lightweight compiler-aware model optimizations, and TVM-based tensor program tuning at companies including Midea, Kwai, and Petuum. He has a strong background in heterogeneous computing (CPU/ARM/NVIDIA CUDA), GPU cluster design, and realistic productionization of vision models for mobile and edge. His work spans applied research (face landmarks, GANs, temporal grounding) to systems-level contributions like dynamic pruning, distillation, and a cost-efficient 128-GPU training rack referenced in patents and papers. Mentoring interns from top universities and publishing in top venues, he blends deep academic training (PhD) with pragmatic engineering that squeezes performance out of constrained hardware. Based in California, he quietly bridges research and deployment—turning algorithmic ideas into optimized, production-grade systems.
12 years of coding experience
11 years of employment as a software developer
Master, Electrical Engineering(Intelligence Control and Pattern Recognition), Master, Electrical Engineering(Intelligence Control and Pattern Recognition) at Hefei University of TechnologyPh.D, Ph.D at University of Hawaii at Manoa
Github Skills (37)
capability9
face-detection8
keras8
re-identification8
tensorrt8
tengine8
uniform8
interoperability7
tencent7
pytorch7
model-compression7
machine-learning7
performance-optimization7
ncnn7
pruning7
Programming languages (3)
Github contributions (5)
xinchenhawaii/SVMVB
Jan 2014 - Jun 2018
Contributions:9 commits, 4 pushes in 4 years 5 months
xinchenhawaii/xinchenhawaii.github.io
Sep 2020 - Oct 2020
Contributions:1 push, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.