This philosophy guides my work as a software engineer. I am passionate about building full-stack applications; from architecting backend systems to crafting frontend experiences.
This extends to my project experience in machine learning, where I enjoy uncovering insights from data, and my focus on data privacy and security in each of my solutions.
As a recent graduate from the University of Auckland, my mission is to use this diverse skill set to build intelligent, secure, and genuinely helpful technology that makes people's lives a little better.
Auckland, New Zealand • Feb 2025 - June 2025
As part of a six-person capstone team, I served as the Full Stack and Cybersecurity Lead for this client-facing project. My contributions spanned from architecting our polyglot microservice backend and developing REST API endpoints to implementing features on the React frontend. I took primary ownership of the platform's security, designing and building a multi-layered strategy from the ground up—including the authentication system on AWS Lambda and the content moderation framework in PostgreSQL.
For more information about this project, please visit section.section.
The University of Auckland
Graduated September 2025
Key Courses:
Data Structures & Algorithms
Artificial Intelligence
Machine Learning
Cyber Security & Network
Object Oriented Software Development
Software Development Methodologies
Computer Organisation
Discrete Structures in Mathematics and Computer Science
My top 5 most impressive and featured projects
A multi-platform social ecosystem for neurodivergent students, powered by a polyglot microservices architecture on AWS. It offers a Proactive AI Partnership for user assistance, intelligent peer matching, a sensory-friendly UI, collaborative forums, and a unique "Commitments" planner to foster well-being.
A full-stack web application for a game library, developed as part of a collaborative team at the University of Auckland. Built entirely with Python Flask backend, featuring user authentication, game browsing, searching, and reviews.
Implemented a Multinomial Naive Bayes classifier from scratch in Python for text categorization. Achieved 99.07% cross-validation accuracy and secured top 2% ranking (3rd/205) on Kaggle through advanced NLP features and hyperparameter tuning.
Interested in discussing opportunities or have questions about my work? I'm open to new challenges and would welcome the chance to explore how we might work together.
Strong technical expertise, innovative problem-solving, and a track record of delivering quality solutions. I'm always looking to tackle interesting projects and contribute to meaningful work.
