Posted on:22 Feb 2026
Rafe Ng

Rafe Ng

Python Programming, C++, SQL, Machine learning techniques, Deep Learning, Docker, R Programming, Computer Vision (CV), Red Hat Enterprise Linux - RHEL, FastAPI, Large Language Models - LLMs

Kepong | 2 Year 9 months

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  • Current Location

    Kepong

  • Job Preferred Location

    Singapore| Malaysia

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About Me

Vision & AI Engineer with ~3 years of experience building intelligent systems. In industrial automation, I developed and integrated calibration and AI Edge Learning tools using C# and WPF. I also leveraged rule-based, Deep Learning, AI Edge Learning, and 3D line scan technologies to automate optical inspection (AOI) for semiconductors, medical devices, and electronics—enhancing defect detection and optimizing performance. Currently in the insurance and takaful industry, I am applying multimodal, vision-language, and large language models (MLLM/VLM/LLMs) to transform document processing, automating claims validation, classification, and structured information extraction, improving accuracy and operational efficiency.

Education

Degree Institute Years of Passing Percentage
Degree in Physics Universiti Sains Malaysia (USM) 2023 3.65 %

Past Employer

Experience Employer Name Designation Location
1 Year 9 months Pentamaster Corporation Berhad Vision Tools Software Engineer Penang, Malaysia
1 Year Etiqa Insurance and Takaful AI Engineer, Early Career Kuala Lumpur, Malaysia