Hungshi Lin
Machine Learning Engineer at Apple
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolHungshi Lin is a Machine Learning Engineer with 11 years of experience specializing in deep learning, computer vision, image processing, and large language models, currently working on LLMs at Apple in San Jose. He previously developed perception systems at Apple’s SPG and built production-ready deep learning solutions at autonomous vehicle startup AutoX, blending research-grade modeling with real-world deployment. His academic background includes a Data Science master’s from Columbia and dual degrees in Industrial Engineering from National Tsing Hua University, and he has hands-on experience teaching GPU profiling and heterogeneous computing. Early work at IBM demonstrated his aptitude for rigorous experimentation and performance tuning, producing up to 6x speedups through factorial design. Known for bridging algorithmic depth and systems-level optimization, he brings a practical focus on scaling ML from prototype to production in safety-critical domains.
11 years of coding experience
6 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Columbia UniversityMaster's degree Industrial Engineering and Engineering Management, Master's degree Industrial Engineering and Engineering Management at National Tsing Hua University
English, Chinese
Github Skills (47)
caffe10
efficientnet10
pytorch9
python9
machine-learning9
deep-learning9
object-detection8
api8
tensorflow8
reinforcement-learning-environments8
neural-network8
data-science8
automl7
reinforcement-learning7
siamese-network7
Programming languages (4)
Github contributions (5)
yans0ng/object_tracking
May 2017 - Aug 2017
Contributions:13 commits, 3 PRs, 10 pushes in 2 months
trackingobject-trackingsiamesesiamese-network
LinHungShi/GCNetwork
Apr 2017 - Oct 2017
Contributions:92 commits, 85 pushes, 1 branch in 6 months
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