Yan Tan is an Associate Consultant based in Singapore combining a mechanical engineering foundation from NTU with hands-on experience in cloud-native solutions and edge manufacturing analytics. He developed and deployed ML models at Rolls-Royce to boost polishing-process accuracy from 86% to ≥95%, and later moved into solutions engineering work involving OpenStack, Kubernetes, CNF onboarding and NCS deployments at Nokia. Comfortable across C++, Python, MATLAB, Linux and tools like ANSYS and SolidWorks, he bridges model development and production operations, troubleshooting from sensor data to pods and nodes. At Red Hat he continues to apply that hybrid hardware-software perspective to consultancy work in cloud and virtualization. Colleagues describe him as systematic, meticulous and numerically strong—traits that underpin both his deep-learning object-detection FYP and his track record of turning experimental models into repeatable operational results.
10 years of coding experience
A-level, A-level at Serangoon Junior College
O-level, O-level at Tanjong Katong Girls' School
Exchange, Mechanical Engineering, Exchange, Mechanical Engineering at VSB - Technical University of Ostrava
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Nanyang Technological University Singapore
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