The Information Technology Associate (ITA) Programme aims at accelerating development of graduates to become IT professionals. The Programme provides participants with on-the-job training, continuous professional development on various IS/IT functions as well as hands-on exposure to emerging technologies including:Business information systems analysis, design and development using digital technologies (e.g. Artificial Intelligence, Data Analytics, Cloud, Mobile Computing, Augmented Reality / Virtual Reality, Internet of Things, Low-code development, etc.)IT digital infrastructure platforms, computer network, digital workplace, enterprise data centre management, etc.IT governance, enterprise architecture, project management, quality assurance, Centre of Excellence, etc.IT cyber security, incident management, risk and compliance, etc.

AI Development: Design, develop, and implement generative AI models using OpenAI ChatGPT and stable diffusion exploration to drive innovation and problem-solving.Cloud Infrastructure: Deploy and manage AI solutions on Azure cloud services, including Logic Apps, Synapse Data Warehouse, and Databricks, to ensure scalable and reliable performance.Solution Deployment and Maintenance: Deploy AI models to production environments, ensuring smooth integration and actively monitoring and troubleshooting deployed systems for optimal functionality.Documentation and Reporting: Document the development process, including design decisions and implementation details. Prepare reports and presentations to effectively communicate project progress and findings.Continuous Learning: Stay up-to-date with the latest advancements in AI technologies and cloud computing to continuously enhance skills and contribute to cutting-edge solutions.

• Enhanced the image segmentation model by upgrading to the advanced U-Net 3+ architecture and integrating cutting-edge DeTR object detection algorithms, enabling accurate identification of building presence and estimation of building heights from satellite photos of varying quality.• Leveraged big data analytics for efficient processing of large-scale satellite imagery datasets, improving the model's performance and robustness in complex image instance segmentation tasks, contributing to advancements in the field of satellite image analysis and deep learning

•Developed a Python-based cloud service for automating the generation of vibration analysis reports and accelerating the transfer of massive amounts of data from the SFTP server.•Provided a series of stable automatic maintenance procedures for more than 70 remote vibration sensors using SSH operations with multiple threads.

•Developed new applications and systems that perform Digital Signal Processing and Image Processing on spectrogram to improve performance and efficiency on Voice Recognition in a Unity-based mobile game•Enhanced and facilitated APIs that are tailor-made for voice recognition on mobile platforms through Objective C and Java programming

•Managed and improved existing reporting systems handling 20 client cases per day.•Improved maintenance of data inventory and security with over 300 client records per week