I have a strong passion for quantitative and technically-challenging fields, particularly in machine learning, quantitative development, and high frequency trading. I am constantly eager to expand my knowledge and push my technical skills to new heights!
On the side, I like doing pullups.
• 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
• Authored detailed documentation and optimized codebases, reducing technical debt and ensuring scalable future development.
• Worked in and collaborated with small cross-functional teams using AGILE methodology to integrate software with hardware and ensure efficient operation of the robots.
Python
C++
Docker
OpenCV
YOLO
ROS
AWS
Sagemaker
Bitbucket
Jira
Computer Science (2nd Major Mathematics) - First Class Honours
Relevant Modules Taken:
• Year 2 Semester 1 [Upcoming]: 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
Activities and Societies:
• NUS.AI (Vice-President)
• RC4 OrcaCode
• RC4 Basketball
Competitions and Events:
• Health Hack 2024
• WorldQuant IQC Challenge Gold Level
Grade: 88.75/90 Rank Points
• Studied H3 MOE Physics, H2 Physics, H2 Chemistry, H2 Mathematics, H2 Economics