Yi Ler Poy

Student (Master) Dissertation @ Universiti Tunku Abdul Rahman (UTAR)

About

Good day. I am a Mechatronics Engineering graduate with a Master’s degree in Engineering Science, with a strong interest in robotics, automation, and intelligent systems. I possess a solid foundation in integrating mechanical, electrical, and software components, with hands-on experience in embedded systems, real-time processing, and applied engineering solutions. During my master’s project, I developed an artificial intelligence–powered wearable smart glasses for the blind and visually impaired in Malaysia, designed with a strong focus on offline operation, system reliability, and real-world usability. The project involved end-to-end system development, including hardware integration, sensor fusion, computer vision, AI-based perception, and navigation. Through this work, I gained practical experience in system integration, real-time implementation, performance evaluation, and iterative design based on user and environmental constraints. I am a motivated and adaptable engineer with a strong problem-solving mindset and a willingness to learn new technologies. I am particularly interested in industry roles related to robotics, automation, intelligent sensing, and autonomous or assistive systems, where I can contribute to practical engineering solutions while continuously developing my technical and professional skills.

Country

Malaysia

City

Gombak

Industry

Mechanical Or Industrial Engineering

Skill

PLC Ladder Logic, XML, RSLogix, Robot Operating System (ROS), C++, GitHub, google colab, Kaggle, Jupyter, Robotics, PyTorch, KiCAD, Path Planning, TensorFlow, Deep Learning, Machine Learning, MATLAB, Proteus, SOLIDWORKS, Python (Programming Language)

Experience

Student (Master) Dissertation

Universiti Tunku Abdul Rahman (UTAR)

2023-7 - 2025-10 · 2 yrs 4 mos

Title: Development of an Artificial Intelligent-Powered Offline Smart Glasses for the Blind and Visually Impaired Brief Description: Designed and developed an AI-powered smart glass system for blind and visually impaired (BVI) users, integrating multiple assistive modules into a compact, wearable, and offline-capable platform. The system includes object and currency recognition, face recognition, multilingual OCR, indoor obstacle detection, and GPS-based outdoor navigation, all optimized for real-time inference on the Jetson Orin Nano. Performance evaluations and a pilot study with users demonstrated strong accuracy, usability, and potential for improving independent navigation, safety, and situational awareness, positioning the system as a practical and scalable assistive solution. Related Knowledges and Tools: - Computer Vision and Deep Learning Applications - Object and Currency Recognition (YOLOv8) - Face Recognition (FaceNet512) - Optical Character Recognition (PaddleOCR) - Sensor Integration (Cameras, GNSS, IMU, Boost Converter, Microphone, Speakers) - Data Synchronization and Latency Optimization - Embedded AI and Edge Computing - Embedded Communication Protocols (I2C, I2S, UART) - Python - Jetpack - Google Colab AI Model Training - SolidWorks Design - 3D Printing Technology

Student (Bachelor) Thesis

Universiti Tunku Abdul Rahman (UTAR)

2022-9 - 2023-4 · 8 mos

Title: Modelling of Multi-Robot System for Search and Rescue Brief Descriptions: Developed a Modified Particle Swarm Optimization (MPSO)–based multi-robot path planning algorithm for dynamic environments. Implemented a hybrid global–local planning framework combining PSO with sensor-based obstacle avoidance to generate collision-free and optimized paths. MATLAB simulations showed improved path efficiency and reduced execution time compared to standard PSO. Related Knowledge and Tools: - MATLAB - Multi-Robot Path Planning Design - Global and Local Path Planning Strategies - Particle Swarm Optimization (PSO)

New Product Introduction (NPI) Engineer

UWC Berhad

2022-10 - 2023-1 · 4 mos

• Assisted in manufacturing process follow-ups and workflow monitoring. • Verified SolidWorks models and technical drawings for accuracy. • Documentation Preparation such as Bill of Materials (BOM) and Process Flow Reports. • Performed hands-on operations involving insertion, tapping, and polishing machines.