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Graduate with MPhil thesis titled "Ensemble Convolutional Neural Network with Median Filter for Semiconductor Wafer Defect Classification". Adventures and love efficiency.
Actively seeking engineering opportunities, leveraging a robust background in Deep Learning with a focus on practical applications, including image classification. Experience encompasses the development of advanced neural network models and enhancing defect detection systems—additionally, keen interest in teaching and dedication to applying expertise to innovative projects within the engineering domain.
Thesis titled "Ensemble CNN with Median Filter for Semiconductor Wafer Defect Classification." The research involved developing an ensemble of Convolutional Neural Networks (CNNs) integrated with median filtering using PyTorch. This approach examined the balance of methods and assessed the impact of median filtering on defect detection ac
Engaged in a fully funded Student Exchange Program sponsored by the Japan International Cooperation Agency (JICA) for two weeks in February and for two months from October to December at Tokai University.
Attained a 1 month coveted spot in the competitive Global Internship at Yokohama, with just two Malaysians selected among eight participants globally, benefiting from full funding and a generous allowance.
Provided crucial initial-stage analysis to the Product Engineer. Formulated comprehensive documentation for re-testing products & re-tested malfunctioning product lots returned by customers.
Gained extensive knowledge and hands-on experience in circuit design, signal processing, and embedded systems. The final year project showcased advanced technical skills by developing an innovative game using Unity and C#. This project integrated the Neurosky EEG device as an interactive controller, demonstrating a sophisticated applicati
Universiti Teknologi Malaysia (UTM) / MPhil in Computer Vision using AI
Engaged in a fully funded Student Exchange Program sponsored by the Japan International Cooperation Agency (JICA) for two weeks in February and for two months from October to December at Tokai University.
