A healthcare software project developed as my UNSW thesis, focused on creating flexible and interoperable clinical care plans for patients with complex multimorbidity.

Built a full-stack ML platform for forecasting ambulance demand by location and time. Combined Poisson XGBoost forecasting with probabilistic confidence metrics and an interactive React dashboard for operational planning.

Worked on a full-stack air-quality platform combining environmental measurements, dashboards, prediction workflows and report generation.

Built a geospatial analytics dashboard for understanding historical ambulance demand. Processed raw Excel call data into office, district and state-level insights to support operational planning.

Software and systems engineering work supporting UNSW AUStronauts and the development of a student-built CubeSat mission.

A modern web platform for UNSW AUStronauts, designed to present the CubeSat mission, team and organisation through an interactive public-facing website.

Built an object-oriented Java simulation of satellites and devices communicating across an orbital network with movement, visibility, relays and incremental file transfers.

Refactored and extended an existing Java dungeon game using design patterns, SOLID principles and object-oriented architecture.

Implemented a complete multiset abstract data type in C with dynamic memory management, higher-level set operations, iterators and complexity analysis.

Developed autonomous agents that navigate a graph-based map using different movement strategies and evolving internal state.

Developed SQL views and procedural PostgreSQL functions for analysing a relational dataset involving rugs, factories, materials and manufacturing locations.

Built Python command-line tools that query a PostgreSQL movie database and transform relational data into useful application-level output.

Implemented a networked Python client–server application using low-level socket programming, authentication and structured command exchange.

Compared classical machine-learning and deep-learning approaches to image segmentation, including K-Means, Random Forest, SVM, FCN, U-Net and ResUNet.

Recreated a simplified Frogger-style arcade game entirely in C using a structured 9×9 game board, moving entities and stateful turn-based gameplay.

Built a command-line task-management application in C around dynamically allocated linked lists for active and completed tasks.

Recreated a Unix-style assignment submission, testing and automated marking system as a collection of interoperating POSIX shell utilities.

Implemented a simplified Git-style version-control system with staging, commits, history inspection, status reporting and file removal.

Used Dafny predicates, contracts and quantifiers to formally specify and verify program properties across all valid inputs.

Implemented and formally verified the Dutch National Flag sorting algorithm using Dafny predicates, loop invariants and multisets.

Built a LinkedIn-inspired single-page application using vanilla JavaScript, REST APIs, direct DOM manipulation and hash-based navigation.

Explored interface redesigns that balance usability, accessibility and security through multiple design alternatives and iterative evaluation.

Built a small AFL-inspired coverage-guided fuzzer that mutates program inputs and retains test cases that discover new execution behaviour.