Background

Experience

Research, engineering, teaching, and leadership roles at The University of Queensland and in industry, with education and technical skills.

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Mar 2026 - Present
Research
Machine Learning Research Assistant
The University of Queensland

Deriving novel frequency-domain algorithms for frequency-based autoencoders in image segmentation, and evaluating autoencoder architectures for compatibility with them.

  • Derived 3 novel algorithms (Kaleidoscope Fourier, Generalised Kaleidoscope Fourier, and Fourier Unshuffle) for use in frequency-based autoencoders for image segmentation tasks.
  • Developed and evaluated multiple autoencoder architectures to assess compatibility with novel frequency-domain algorithms, comparing model behaviour and performance across architectural variants.
  • Contributing to research targeting manuscript submission in 2027, focusing on frequency-domain methods for computer vision.
Jul 2026 - Present
Engineering
AI Engineer (Part-time)
Apex Fincap

Building AI-driven systems for a financial trading platform, spanning data pipelines, model integration, and production reliability. Project specifics are under NDA.

Jul 2025 - Present
Teaching
Casual Academic
The University of Queensland

Currently supervising capstone teams (DECO3801) and teaching pattern recognition and deep learning (COMP3710) alongside introductory software engineering (CSSE1001). Previously taught machine learning, functional and logic programming, and theory of computing.

  • Delivering classes and guiding students through programming and mathematical concepts.
  • Supervising capstone teams through scoping, technical decisions, and delivery.
  • Marking assessments and providing practical, constructive feedback.
Nov 2025 - Oct 2026
Leadership
Industry Officer
UQ Computing Society

Led sponsorship outreach, pitching, negotiation, and partner relationships for one of UQ’s largest technology societies.

  • Secured more than $30,000 in sponsorship funding.
  • Increased funding by 40% and expanded the sponsor base by 30% in 2026.
Jan 2026 - Mar 2026
Research
Summer Research Scholar
The University of Queensland

Designed a PsychoNet-based decoder and derived Fourier Shuffle for frequency–spatial upsampling in medical image segmentation.

  • Improved validation performance by 1.77% against a U-Net baseline.
  • Reduced GPU memory usage by 13.8% with custom PyTorch training scripts.
Nov 2024 - Feb 2025
Engineering
AI Integration Engineer
Apex Fincap

Built AI-assisted systems that summarised financial data and helped brokers complete reports more efficiently and accurately.

Education

Education

From 2027 (intended)Admission pending

Master of Science (Informatics)

Technical University of Munich

Applying to begin in 2027. A place has not been offered yet, so this is an intended next step rather than a confirmed one.

2026 - Present

Master of Data Science

The University of Queensland

Advanced statistics, numerical linear algebra, and deep learning. GPA: 6.5/7

2024 - 2025

Bachelor of Computer Science

The University of Queensland

Machine Learning major · Semester 2 GPA: 6.5

Research focus

What I work on

The areas my research, projects, and reading keep returning to: mostly how visual models represent structure, and what mathematics explains their behaviour.

Deep LearningComputer VisionVision TransformersFourier & Frequency-Domain MethodsSemantic SegmentationMechanistic InterpretabilityExplainable AITopological Data AnalysisMultivariate StatisticsNatural Language Processing

Technical toolkit

Languages and frameworks

The full set used across research, data analysis, teaching, and software development.

Languages
PythonC (ANSI C)C++HaskellJavaMojo (Familiar)Julia (Familiar)SQL (Familiar)R (Familiar)
Frameworks & libraries
PyTorchNumPyHugging Face & TransformersMatplotlibScikit-learnOpenCVpandas