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@isaiahxavier
Aspiring electronics engineer skilled in embedded systems, vision AI, and technical troubleshooting.
I am a recent Diploma graduate in Electronic Engineering (Computer) from Politeknik Kota Kinabalu with strong hands-on experience building embedded prototypes and applying computer vision. My final year project involved training a custom YOLOv8 model and integrating EasyOCR and OpenCV on a Raspberry Pi 4 to deliver a working license-plate recognition and automated gate-control prototype, achieving 100% detection and 93% OCR accuracy in well-lit conditions.
During an internship at the Ministry of Science, Technology and Innovation Sabah I configured Raspberry Pi systems for remote monitoring, provided on-site technical support at major events, and diagnosed hardware and network issues. I bring practical skills in C/C++, Python, GPIO and serial communication, PCB prototyping, network configuration, and a proven ability to troubleshoot and deliver reliable solutions.
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Work history, roles, and key accomplishments
Ministry of Science, Technology and Innovation Sabah
Jul 2024 - Nov 2024 (4 months)
Configured Raspberry Pi systems with static IP and VNC for remote monitoring, provided on-site technical support during BIMP-EAGA Summit and Sabah Screen Fest 2024, and diagnosed/resolved hardware, OS, and network issues across PCs and printers.
Politeknik Kota Kinabalu
Aug 2023 - May 2024 (9 months)
Developed an AI-powered license plate recognition prototype using YOLOv8, EasyOCR and Raspberry Pi 4 to automate gate control; achieved 100% detection and 93% OCR accuracy in well-lit tests.
Degrees, certifications, and relevant coursework
Diploma in Electronic Engineering (Computer), Electronic Engineering (Computer)
2022 - 2025
Grade: 3.76
Activities and societies: Final Year Project: AI-Powered License Plate Recognition System; internships and technical events support
Diploma in Electronic Engineering (Computer) completed with a CGPA of 3.76, including a final year project developing an AI-powered license plate recognition system using Raspberry Pi and YOLOv8.
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