I-chuan Lin
資料科學工程師 at 群聯電子 PHISON Electronics
Kaohsiung, Taiwan
Summary
👤
Senior🎓
Top SchoolI-chuan Lin is a data science engineer with nine years of experience applying AI and analytics to industrial and enterprise products, currently driving data initiatives at PHISON Electronics in Kaohsiung. With a masters in Electrical/Electronic and Communications Engineering from National Taipei University of Technology and research experience as a visiting scholar at Ontario Tech University, he blends strong academic foundations with practical model deployment in commercial settings. Previously an AI Engineer at Getac, he has experience bridging embedded systems and machine learning for robust, field-ready solutions. Known for pragmatic problem-solving, he focuses on turning complex signals and edge data into actionable insights for product teams.
9 years of coding experience
2 years of employment as a software developer
Visiting Researcher, Faculty of Business and Information Technology, Visiting Researcher, Faculty of Business and Information Technology at Ontario Tech University學士, Electrical, Electronic and Communications Engineering Technology/Technician, 學士, Electrical, Electronic and Communications Engineering Technology/Technician at 國立高雄應用科技大學碩士, Electrical, Electronic and Communications Engineering Technology/Technician, 碩士, Electrical, Electronic and Communications Engineering Technology/Technician at 國立臺北科技大學
Github Skills (63)
face-detection10
kaitai-struct10
cdr10
robotics10
python10
data-science10
data-integrity10
machine-learning10
racing10
dbus10
autonomous-vehicles10
deep-learning10
tensorflow10
segmentation10
automotive10
Programming languages (3)
Github contributions (5)
KUASWoodyLIN/TF2-VAE
Jun 2019 - Jul 2021
Contributions:16 commits, 3 pushes, 1 tag in 2 years 1 month
KUASWoodyLIN/mAP
Jun 2018 - Jun 2018
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Contributions:3 commits, 3 pushes in 3 days
detectiondeep-learningobject-recognitionrecognitionobject-detection
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