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Projects

A selection of my recent work and key projects

Bilingualmates.com
Bilingualmates.com
A language learning platform connecting users with native speakers for conversation practice.

Tech Stack

Next.js
React
Node.js
MYSQL
NestJS
Redux
TypeORM
TypeScript

Key Achievement

Deployed a fully functional and stable end-to-end e-learning platform as the first major project milestone.

AIA Singapore
AIA Singapore
Redesigned the Agent portal for AIA Singapore, improving user experience and engagement. (Private)

Tech Stack

React
Redux
TypeScript
Material UI
GraphQL
AWS

Key Achievement

Modernized legacy APIs from ASP Classic to Next.js, significantly improving performance, maintainability, and developer experience.

Lifeplanjournal.com
Lifeplanjournal.com
A high-performance digital journaling platform with goal tracking and habit formation features, built with Next.js server-side rendering and deployed on VPS infrastructure.

Tech Stack

Next.js
React
Node.js
Redis
PostgreSQL
VPS
SEO Optimization
Server Management

Key Achievement

Successfully handled 3,000 concurrent users during flash sale events with Redis caching implementation. Achieved 300% increase in organic traffic through advanced SEO optimization and maintained 99.9% uptime with comprehensive VPS server management.

Gate Parking Security System Using YOLO (You Only Look Once) and Face Recognition Algorithms
Gate Parking Security System Using YOLO (You Only Look Once) and Face Recognition Algorithms
An AI-based smart parking system using YOLO for license plate recognition and face recognition for driver verification. The gate opens only if the driver's face matches at entry and exit. Achieved 91.86% plate detection accuracy and 95.8% character recognition. Processing time: 4.85s (Colab), 37.69s (Jetson Nano).

Tech Stack

YOLOV3
Python
Matplotlib
PyMata
NumPy
OpenCV (GPU)
Tkinter
Pillow (PIL)
MySQL

Key Achievement

Awarded for outstanding achievement in developing a "Design and Realization of a Motorcycle Parking System Using Face Recognition and License Plate Recognition Methods". The project demonstrated innovative use of computer vision technology for practical parking management solutions.