• Worked on a suite of platforms (TRUST/EnTRUST/EnTRUST Data Catalogue) on GCC 2.0 to facilitate secure and private data access for researchers, resulting in streamlined research processes and secure data consumption.• Implemented the frontend of EnTRUST Ops Portal v2 platform with NextJS, Role Based Access Control(RBAC), containerized with Docker, and successfully deployed to ECS, ensuring enhanced access control and scalability.• Heavily involved in the full-scope development… Show more • Worked on a suite of platforms (TRUST/EnTRUST/EnTRUST Data Catalogue) on GCC 2.0 to facilitate secure and private data access for researchers, resulting in streamlined research processes and secure data consumption.• Implemented the frontend of EnTRUST Ops Portal v2 platform with NextJS, Role Based Access Control(RBAC), containerized with Docker, and successfully deployed to ECS, ensuring enhanced access control and scalability.• Heavily involved in the full-scope development of backend and frontend infrastructure for EnTRUST Data Catalogue, provisioned via Terraform, and crafted serverless API functions with AWS Lambda for seamless frontend interfacing, resulting in enhanced system efficiency and user experience.• Enhanced the TRUST Offline Anonymisation application (based on React Electron) to support offline anonymisation of large datasets according to MOH DAFAA standard, ensuring that the application is user friendly, and data transformations to anonymize sensitive information are functioning correctly.• Secured 3rd place in the annual Data Science and Artificial Intelligence Division(DSAID) Hackathon by designing a platform leveraging advanced Language Learning Models (LLM) to enhance recruiter efficiency, enabling precise summarization and quantification of applicant-job description alignment. Show less

• Engineered an end-to-end AutoML pipeline for raw image processing that included ground truth extraction, preprocessing, and Open Source OCR model training, achieving a final model performance score of 0.8, competitive with AWS Textract.• Automated the entire pipeline process to enhance efficiency and model performance, ultimately approaching the benchmark set by AWS Textract.

• Conducted research on COVID-19 control measures and developed a regression model, effec- tively predicting the impact of various interventions, aiding in more informed decision-making.• Contributed to the testing phase of an internal search engine designed to enable researchers to easily access credible information from research publications and news channels, enhancing research efficiency.

144th Bravo Intake(P2) > 70th FFC(R3) > Woodlands Fire Station(R2)

Working at Uniqlo was an amazing experience. My colleague's where extremely friendly. I learnt how to treat and serve customers in the best possible way.