• Experienced in designing, implementing, and maintaining virtual machines, storage, and networking components based on project requirements (e.g. Project Zetrix) in multi-cloud environment (AWS & Huawei Cloud).• Regularly assess the performance, security, and scalability of existing cloud systems and identify areas for enhancement.• Create functional and technical documentation for cross-functional teams to refer and implement.• Collaborate with cloud vendors on designing and implementing cloud solutions based on project aim, requirements, and expectations.• Communicate effectively by sharing our input, feedback, and approval on the cloud architecture, configuration, integration, migration, and security aspects of our cloud solution with cloud vendors.• Collaborate with cloud vendors to assess cloud security and discuss potential solutions to strengthen our cloud environment.

• Developed a novel image processing technique - SLIC-G, with a data-centric approach that significantly improved binary and multiclass diabetic retinopathy image classification accuracy by 3%.• Developed a novel eXplainable Artificial Intelligence (XAI) quantitative evaluation method to quantitatively validating the heat maps generated by gradient-based visual explanation methods, producing empirical scores that attest to their reliability.• Collaborated with BP Healthcare Group (Doctor2U) stakeholders to conduct market analysis of machine learning algorithms & application features used in existing diabetes management systems that utilized tongue and retina images and reported the findings effectively, as well as successfully published and presented the findings at the International Conference on Digital Image and Signal Processing (DISP 2019, Oxford City, UK).• Fine-tuned Convolutional Neural Networks (CNNs) using transfer learning to solve medical image classification problem.• Extensively evaluated the model performance by using Scikit-learn evaluation metrics such as accuracy score, F1-score, classification report, confusion matrix, Area under the Receiver Operating Characteristic (AUC-ROC) score, and Jaccard Similarity Index, ensuring the efficacy of the model.• Efficiently searched for optimal values for machine learning model's hyperparameters using Optuna library, resulting in optimal model performance.• Extensively published research findings in top-tiered journals and conferences (Google Scholar: https://tinyurl.com/wxlim).

• Liaised with school representatives of the FOSE to continuously enhance school procedures and individualized student assistance.• Contributed to two successful game night events to welcome new postgraduate students (Summer and Autumn intake).• Led and delegated tasks (e.g. Booth set up, facilities tour, and School of Computer projects showcase) to a team of student ambassadors.• Showcased School of Computer Science projects and communicated effectively with guests.• Delivered facilities tours.

I supported the teaching objectives of the school by delivering teaching through allocated lectures, tutorials and other forms of undergraduate teaching. Subjects taught include:• Introduction to Statistics (IST1024)• Applied Statistics (IST2024)• Network & System Administration (NET2103)

I supported the teaching objectives of the school by delivering teaching through allocated lectures, tutorials and other forms of undergraduate teaching. Subjects taught include:• Fundamentals of AI (COMP1032)• Mathematics for Computer Scientists (COMP1017)• Programming Paradigm (COMP1029)• Software Engineering Group Projects (COMP2019)• Software Maintenance (COMP 2042)• Operating Systems & Concurrency (COMP2035)• Artificial Intelligence Methods (COMP2024)• Machine Learning (COMP3038)

• Conducted a survey to investigate how administrative work affects teachers' performances, which has a direct impact on educational quality.• Research findings enabled teachers to communicate successful teaching techniques and to ensure that students receive the quality education they deserve.• Presented research findings at the Proceeding of International Conference on Humanities, Language, Culture & Business, Penang 2017.

As an Android mobile application developer, I was responsible for designing and building advanced applications for the Android platform, ensuring their functionality and performance. I also collaborated with cross-functional teams to define, design, and ship new features while maintaining code quality and organization. Additionally, I worked on bug fixing and improving application performance, ensuring apps are optimized for speed and efficiency.