Private Equity

• Taught CS2040 - Data Structures and Algorithms (Java): Rated 4.7/5.0 (Faculty Average 4.2/5.0)

Video Analytics

• Engineered and deployed object-based alert throttling algorithms for a fleet of security robots, enhancing real-time object detection

• Executed extensive testing and benchmarking of cutting-edge computer vision models, including YOLOv10, to rigorously evaluate their suitability for production

• Performed comprehensive data preparation, including cleaning, preprocessing, augmentation, and pipelining of image datasets, to facilitate custom model development and deployment

• Trained and deployed YOLO models on AWS SageMaker, executing backend migrations to enable seamless integration of video analytics modules and leveraging endpoints for real-time predictions

Computer Science (2nd Major Mathematics) - Honours (Highest Distinction, >= 4.5/5.0)

Relevant (Technical) Modules Taken:

• Year 2 Semester 2 [CURRENT]: CS3211 - Parallel and Concurrent Programming, CS3233 - Competitive Programming, CP3880 - ATAP @ GIC

• Year 2 Semester 1: CS2101 - Effective Communication for Computing Professionals, CS2103T - Software Engineering, CS2106 - Introduction to Operating Systems, CS3230 - Design and Analysis of Algorithms

• Year 1 Semester 2: CS2040S - Data Structures and Algorithms, CS2100 - Computer Organisation, ST2334 - Probability and Statistics

• Year 1 Semester 1: CS1010X - Programming Methodology I, CS1231S - Discrete Structures, CS2030S - Programming Methodology II, MA1521 - Calculus For Computing, MA1522 - Linear Algebra For Computing