Yuan Soo
Assistant Manager - Machine Vision AI And IoT Application
Singapore
Summary
👤
Senior🎓
Top SchoolYuan Soo is an accomplished Machine Vision and AI engineer with 13 years of hands-on experience designing and deploying industrial vision systems across semiconductor and manufacturing environments. As Assistant Manager at SICK Singapore, he led IoT-driven digital transformation efforts that delivered 25% efficiency gains and achieved 98% defect detection accuracy through carefully integrated cameras, sensors, lighting and ML models. He has a proven track record of boosting inspection throughput (100 fps on Xeon), reducing false positives, and cutting downtime by adopting Industry 4.0 technologies and cloud analytics. Comfortable managing budgets and cross-functional teams, Yuan consistently delivers projects on time and within scope while translating research-grade algorithms into robust production software. Notably pragmatic—he eschews multitasking for focused, high-impact work—he combines deep expertise in OpenCV, Halcon and TensorFlow with a knack for building usable GUIs and deployable toolchains that clients actually adopt.
13 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Bachelor's Degree at Universiti Malaysia SabahSMJK Keat HwaBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University Malaysia SabahGithub contributions (5)
yuanhangw/lostnfound
Jan 2013 - Mar 2013
Contributions:140 commits in 2 months
yuanhangw/yuanhangw.github.io
Jan 2016 - Feb 2016
Contributions:18 PRs, 98 pushes, 17 branches in 1 month
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