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Portfolio

Projects

A focused selection of product and engineering work across full-stack web development, Flutter mobile development and applied AI. Source code, live deployments and technical details are included where publicly available.

Applied AI ProductJul 2026 – Present

Sylla — AI-Powered Study Assistant

An AI-powered study assistant with streaming responses, persistent conversation history and reusable study workflows for summaries, explanations, flashcards, quizzes and study planning. Designed to work independently and as an integrated assistant within the wider Syllabus Sync ecosystem.

Next.jsReactTypeScriptTailwind CSSVercel AI SDKSupabaseVitest
GitHub Live AppView Details
Full-Stack WebDec 2025 – Present

Syllabus Sync Ecosystem — Student Experience Platform

A connected student-experience platform co-founded for Macquarie University students, supporting academic planning, deadlines, campus information and student productivity. Built with Next.js, React, TypeScript and Supabase, with accessibility, multilingual support, automated testing and CI/CD.

Next.jsReactTypeScriptSupabasePostgreSQL
Mobile DevelopmentMar 2026 – Present

MQ Navigation — Flutter Campus Navigation Companion

A Flutter campus navigation companion supporting destination discovery, route previews, transport information and access to key university locations, with destination-based deep linking from Syllabus Sync.

FlutterDartGoRouterDeep LinkingGitHub Actions
GitHubView Details
AI / Machine LearningApr 2026 – Jul 2026

CIFAR-10 Image Classification — PyTorch Benchmark

An end-to-end image-classification project comparing a custom CNN, MobileNetV2 and ResNet-18 under controlled training and transfer-learning conditions. ResNet-18 achieved 87.48% test accuracy. The project includes Grad-CAM interpretability, INT8 quantisation, CLI inference and a live Gradio deployment.

PythonPyTorchtorchvisionNumPyGradio
GitHub Live DemoView Details