Shien Ming Ng Email and Phone Number

- Developed an automated vehicle entrance system using computer vision and license plate recognition (LPR) running on Raspberry Pi for secure and efficient entry into private parking and residential areas.- Implemented AI-driven traffic data scraping and analytics through accessing traffic camera API provided by DBKL and LLM, integrating data into a Postgres database for advanced traffic insights.- Explored developing API using FastAPI in Python and Axum in Rust.- Trained YOLOv8 models for vehicle classification and license plate detection for Malaysia and the Philippines using custom datasets collected by company.- Created a GUI using PyQt5 as an application for training YOLOv8 models.- Assisted in creating a software pipeline to accurately track and classify vehicles in video footage of highway traffic, aiding traffic management and infrastructure decisions.

- Assist in developing frontend of wedding event web app for users to organise wedding events and manage tables and guests for each event.- Assist in developing backend API for wedding event web app to upload updated event, table and guest data to cloud database.