Projects

🔹 Splitmate – Utility Bill Sharing System for Rental Houses

Duration: Jul 2024 – Dec 2024
Location: Adelaide, Australia
Role: Backend Developer

Overview:
Splitmate is a real-time energy usage and bill sharing system designed for rental houses. It enables tenants to monitor and split utility bills fairly and transparently.

Key Contributions:

• Developed backend system using Spring Boot, MyBatis, and MySQL, with secure JWT authentication.
• Designed and implemented RESTful APIs for user registration, property management, and billing automation.
• Integrated real-time energy usage updates via WebSocket and device communication using MQTT protocol.
• Deployed system on AWS EC2, optimized server performance and database indexing.

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🔹 Fracture Detection in 3D CT Scans – Research Project

Duration: Jul 2024 – Dec 2024
Location: Adelaide, Australia
Role: Research Lead & ML Engineer

Overview:
A machine learning-based system for classifying 3D CT scans to assist in fracture detection, aimed at improving diagnostic efficiency and accuracy in clinical settings.

Key Contributions:

• Built optimized deep learning models (e.g., 3D DenseNet) to classify fractures using NIfTI-format CT data.
• Handled a 100GB+ dataset, including preprocessing and memory optimization for efficient model training.
• Implemented model interpretability features using Class Activation Mapping (CAM).
• Conducted external dataset validation to ensure clinical generalizability.