I'm a Sydney-based Frontend Software Engineer with 4+ years building high-performance web applications across AI platforms, cloud kitchens, and university EdTech. I specialise in React, Angular, and Next.js — with a sharp focus on accessibility-first UI/UX and data visualisation that turns complex datasets into dashboards people actually use.
Currently completing an MSc in Data Scienceat Macquarie University on a Vice-Chancellor's Scholarship, I bring the rare combination of engineering precision and data science insight to every product I touch — from semantic HTML to machine learning pipelines.
Looking for a frontend, full-stack, or UI engineering role in Sydney where I can own the experience layer and make data beautiful.
Full-stack engineering on a scalable AI-driven workflow automation SaaS. Built micro frontend architecture in React + TypeScript with Tailwind CSS, automated CI/CD with Docker and GitHub Actions, and integrated RESTful APIs with Redux state management.
Built an interactive data visualisation platform in Angular 16+ for university-wide energy consumption analysis across 3 departments. Processed 620+ variables into performant, accessible dashboards that cut manual reporting time by 40%.
Built a 50+ element Angular component library with a facial recognition UI module. Achieved 95% facial recognition accuracy and cut future development time by 80% through fully reusable, WCAG-compliant components with SASS, CSS Grid, and keyboard navigation.
Full-stack job application tracker I built during my own AU job hunt. React frontend with Kanban pipeline view, FastAPI backend pulling listings from public AU boards, deterministic Python scoring, and Claude Sonnet for on-demand cover-letter generation.
Resume-to-mindmap web tool: paste structured JSON or fill a guided form and get an interactive D3.js mindmap with drag-drop, zoom, and PNG/SVG export. A flat PDF buries structure — this surfaces it.
Zero-dependency JavaScript library that turns nested JSON into an interactive SVG mindmap with Bezier-curve edges and context menus. One function call — pass JSON, get a mounted SVG. No build step.
End-to-end streaming stack: Kafka broker, Dockerised Python producer/consumer, Kubernetes manifests, schema validation with dead-letter routing, and a Streamlit monitoring dashboard. One-command spin-up via Docker Compose.
Self-generated dataset of 1,047 AU job applications. Logged source, response time, recruiter behaviour and outcome for every application; ran the analysis in Python, published the findings. Write-up reached 55K+ views on LinkedIn.
▸ Top endorsed: React · Angular · TypeScript · Next.js · WCAG 2.1 · D3.js
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I'm an engineer. I like structured arguments. So here's mine.