Software engineer.

• Designed and implemented full-stack features for a data-driven AI platform, building responsive UIs in React (TypeScript) and FastAPI backend services to support LLM inference pipelines.
• Developed interactive pipeline and dataset visualisation components, improving user task completion speed by upwards of 40% and enabling intuitive exploration of complex datasets.
• Engineered REST APIs and backend AI data processing pipelines, enabling efficient analysis and retrieval across datasets exceeding 10k rows while maintaining responsive performance.
• Collaborated in a small engineering team to ship production features end-to-end, contributing to weekly releases used by active internal and enterprise users/companies.

Technologies: React, TypeScript, FastAPI, PostgreSQL, Gemini API / OpenAI API, Docker

• Taught shell scripting, Python fundamentals, regular expressions, and Unix development tools.
• Supported hundreds of students by diagnosing complex programming issues and providing structured feedback.
• Handled assessment marking, teaching, and exam invigilation duties.

• Built a full-stack analytics platform that transformed 4,000+ employee reviews into actionable insights across 11 corporate culture dimensions as part of the capstone COMP3900 course in collaboration with Rio Tinto.
• Selected as one of 4 COMP3900 projects to be showcased at UNSW Open Day in 26T2.
• Engineered an NLP pipeline combining sentence embeddings, sentiment analysis, and hierarchical theme classification to automatically analyse and categorise employee feedback.

Technologies: Next.js, TypeScript, FastAPI, PostgreSQL, Docker, Gemini API, VADER

• Full-stack productivity web app leveraging generative AI to create dynamic isometric map assets linked to task completion and productivity.
• Developed an AI-powered image generation pipeline that transformed user tasks into dynamic in-game assets.
• Built interactive draggable widgets with dnd-kit and TailwindCSS to enhance user engagement.
• Optimised HTML Canvas rendering to handle hundreds of images while maintaining smooth performance.

Technologies: React, Vite, TypeScript, Express.js, TailWindCSS, DALL-E

• Contributed to a platform used by 5000+ UNSW students each term.
• Led UI/UX improvements including redesigned landing page and improved workflows.
• Implemented a friends feature for cooperative timetabling.
• Automated course updates by scraping UNSW timetable data using Puppeteer.

Technologies: React, Material-UI, Git, MongoDB, Express, Docker

• Built an interactive real-time voting app for group restaurant selection.
• Enabled live lobby participation with instant vote updates.
• Integrated Socket.io for real-time communication and optimised mobile responsiveness.
• Designed core voting logic and reaction display system.

Technologies: React, Next.js, Git, Socket.io, TailWindCSS