Gabriel Tay is a pragmatic facility maintenance technician with 11 years of hands-on experience bridging mechanical, process control and biomedical engineering domains. Currently at NOV and pursuing postgraduate studies in Deep Learning & Neural Networks, he combines practical facilities work with a growing specialty in machine learning applied to medical imaging from a recent SUSS capstone on COVID-19 CT screening. Gabriel has supported clinical operations and logistics across healthcare projects and volunteers with the Healthcare Businesswomen’s Association, demonstrating strong organizational and cross-team communication skills. Known for conscientious task completion and continuous self-improvement, he also brings a rare blend of shop-floor troubleshooting and technical design experience from internships and an advanced diploma in Process Control & Instrumentation.
11 years of coding experience
Postgraduate Degree Deep Learning & Neural Networks, Postgraduate Degree Deep Learning & Neural Networks at Singapore University of Social Sciences (SUSS)
Advanced diploma in Process Control & Instrumentation, Advanced diploma in Process Control & Instrumentation at Singapore Polytechnic
Contributions:13 pushes, 1 branch in 2 years 10 months
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Gabriel Tay - Facility Maintenance Technician at NOV