MInfoTech Student · Software Developer · AI/ML Enthusiast
Final-year Master's student at the University of Auckland, passionate about building AI-powered applications, full-stack web systems, and polished desktop tools. Actively seeking software engineering opportunities in New Zealand's tech industry.
I'm a Master of Information Technology student at the University of Auckland (graduating 2026), with a strong background in Python, PyQt5, and full-stack JavaScript. My undergraduate graduation project — an AI-powered intelligent education platform — combined face recognition, GPT chat, AI-generated homework, and grade analytics into a production-ready desktop application.
Beyond coursework, I've built a multiplayer browser roguelike with real-time Socket.IO sync, reproduced an ML pipeline for ETA prediction on Beijing taxi data, and maintain a growing collection of open-source tools and skills for AI assistant workflows.
I'm particularly interested in AI application engineering, full-stack development, and intelligent systems that solve real problems. In the NZ context, I'm actively exploring the local tech ecosystem and building toward a career here.
Built a full PyQt5 education platform with GPT-3.5 API, Baidu ASR voice input, and face recognition — from scratch.
Architected a real-time co-op roguelike with Vue 3, Phaser, Node.js, and Socket.IO — from concept to playable prototype.
End-to-end Wide & Deep learning pipeline on Beijing T-Drive dataset, validated on RTX 4070 GPU.
PyQt5 desktop platform with face recognition login, GPT-3.5 teaching assistant, AI homework generation & auto-grading, voice input, and grade analytics. Undergrad graduation project (2023/2024).
Browser-based co-op roguelike with room-code/QR join, real-time multiplayer sync, 8-direction shooting, hit/damage/revive. Vue 3 + Phaser + Node.js + Socket.IO. Real playable prototype.
End-to-end ML pipeline reproducing link-level speed prediction on Beijing T-Drive dataset. Uses OSRM for map-matching and Wide & Deep (WDR) model for ETA estimation. GPU-validated on RTX 4070.
Kotlin Android port of the classic Worms artillery game. Classic turn-based physics gameplay, recreated with a modern mobile touch interface.
Lightweight SQLite-based local memory skill for OpenClaw AI assistant. No cloud embeddings, no payments — just persistent, private memory that works on a single device.
Automated daily Bitcoin historical data collection pipeline. Scheduled background script fetches and stores updated price data each day at midnight.
2025 – 2026 (expected). Focused on software engineering practice, AI applications, and the New Zealand tech industry. Includes compulsory industry-facing workshops and a semester-long industry internship (COMPSCI 778).
Undergraduate graduation project: AI-powered intelligent education assistance system (PyQt5 + GPT + face recognition + voice input). Awarded strong marks for system integration, AI feature implementation, and practical utility.
Software engineering internships, graduate roles, and junior developer positions in Auckland or wider NZ
Full-time / Part-time / Contract. Remote, hybrid, or on-site. AI/ML, full-stack, or desktop application roles
Auckland, New Zealand. Currently hold a valid NZ student visa with work rights (post-study pathway)
Available for interviews now. Target start: mid-to-late 2026 (around October, aligned with COMPSCI 778 internship)
Auckland, New Zealand