Singapore
- Conducted weekly tutorials for approximately 60 undergraduate students on relational databases, SQL, normalization, and database design concepts. - Facilitated interactive learning sessions by simplifying complex database concepts into practical and engaging examples. - Guided students through problem-solving approaches, SQL query formulation, and schema design best practices. - Provided academic support and constructive feedback to strengthen students’ understanding of database systems. - Collaborated with the teaching team to support course delivery and enhance student learning experiences.
- Hosted more than 6 events per year. - Foster relationships between residents and ensure the well-being of the community.
Worked on designing and deploying real-world Edge AI computer vision systems for healthcare applications, focusing on reliability, performance, and clinical usability in resource-constrained environments. • Developed a Gait Speed Estimation system on NVIDIA Jetson Nano and Orin, using YOLO-based pose estimation, OpenCV, and Python to convert video streams into clinically meaningful mobility metrics • Built a homography-based calibration pipeline that enabled non-technical users to configure real-world measurements across different physical environments • Performed deep performance profiling and optimisation, eliminating real-time FPS instability through pipeline refactoring, asynchronous logging, and resource contention analysis • Designed a top-down thermal Fall Detection system, solving fundamental perspective and occlusion limitations through system-level architectural changes • Implemented a dual-camera fall detection architecture, enabling near-complete fall coverage in ideal environments through multi-view fusion • Created state-based posture analysis algorithms optimised for low-FPS edge devices, balancing accuracy, robustness, and computational efficiency • Collaborated cross-functionally with engineers, researchers, and product stakeholders, translating ambiguous problem statements into deployable solutions • Contributed to systems that successfully passed initial clinical trials (St Luke’s Hospital) and were prepared for subsequent deployment phases Technologies: Python, OpenCV, YOLO Pose, NVIDIA Jetson (Nano & Orin), Thermal Imaging, Edge AI, Real-time Systems This version is optimized for: ✅ Recruiter scanning ✅ ATS keyword matching ✅ Technical credibility ✅ Real-world impact