01 About Me
Combining industry experience with active research, I am a data-science and AI engineer finishing a Master of Data Science at the University of Western Australia (early 2025) and holding a Bachelor of Commerce in Finance. In my current role with EY’s Technology Assurance practice I examine digital-asset platforms end-to-end running desktop reviews, technical tests, and DeFi-network analyses; delivering IT-assurance work across applications and infrastructure; and building internal tools that translate raw on-chain data into clear, Web2-style reports for clients.
My academic work adapts temporal geometric neural-network architectures to rumour detection, uniting graph learning with natural-language analysis. The same research mindset drives my open-source portfolio, which includes Dynamic Dashboards, Araneos, and AI Video Creation full-stack systems that weave together GNNs, large language models, computer vision, and modern web tooling to solve practical problems.
Fluent in Python, PyTorch, Deeplearning Frameworks, and comfortable moving between statistical analysis, cloud infrastructure, and application design, I balance analytics with pragmatic delivery. Outside of work I explore AI driven Application development and machine learning model development, and I am motivated by opportunities where thoughtful engineering and clear communication turn complex information into decisions that create real value.
AI & Deep Learning
Specializing in GNNs, NLP, and Computer Vision
Full-Stack Development
Building end-to-end AI-powered applications
Blockchain Analytics
Bridging Web3 and traditional data systems
02 Professional Journey
Technology Assurance – AI & Digital Assets
Jan 2025 – PresentEY, Perth, WA
- Evaluate digital-asset platforms through structured desktop research and technical testing
- Review DeFi networks to identify and document emerging risks for clients and regulators
- Provide IT-assurance over applications and infrastructure in complex audit environments
- Develop data-extraction and analytics scripts that transform Web3 data into concise Web2 reports
AI Research Engineer (Thesis)
Jul 2023 – June 2025University of Western Australia
- Adapted existing temporal geometric GNN architectures (e.g. DySAT, TGN) for rumour-detection tasks
- Reproduced and benchmarked six temporal and static GNN models on the PHEME dataset
- Built a PyTorch training pipeline to ensure consistent evaluation and hyper-parameter tuning
Intern - Technology Assurance
Nov 2024 - Dec 2024EY, Perth, WA
- Contributed to AI-driven solutions for financial risk assessment
- Gained hands-on experience with enterprise-scale data analytics platforms
- Collaborated on blockchain analytics projects for digital asset evaluation
03 Featured Projects
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Temporal Geometric Neural Networks
Master’s-thesis research adapting temporal geometric GNN architectures to rumour detection. Provides a comparative study of six models on the PHEME dataset and an open, reproducible PyTorch codebase.
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Dynamic Dashboards
AI-powered data analytics platform leveraging Claude API for intelligent visualization generation. Features real-time processing, collaborative dashboards, and automated insights extraction from complex datasets.
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Araneos
Dynamic Graph Intelligence Platform that transforms tabular data into rich graph representations. Features interactive visualization, multiple GNN architectures, and advanced feature engineering with BERT embeddings.
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AI Video Creation
Advanced video generation system orchestrating LLMs, image synthesis, and TTS models. Creates professional short-form videos with dynamic subtitles and effects from simple text prompts.
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The Emissary
Modern magazine-inspired news platform featuring sophisticated design, content management system, and responsive layouts. Built with Flask and modern web technologies.
04 Technical Expertise
AI & Machine Learning
Graph Neural Networks
GCN, GAT, DySAT, TGN, Custom TAGAN Architecture
Deep Learning
PyTorch, TensorFlow, Transformers, CNNs, RNNs
Natural Language Processing
BERT, GPT, LangChain, Sentiment Analysis, Text Generation
Computer Vision
Diffusion Models, ComfyUI, Image Generation, OpenCV
Programming & Development
Python
Advanced scripting, async programming, data structures
Backend Development
FastAPI, Flask, Django, RESTful APIs, WebSockets
Frontend Development
React, JavaScript, D3.js, HTML/CSS, Responsive Design
Databases & Cloud
SQL, PostgreSQL, MongoDB, AWS, Docker, Cloudflare
Data Science & Analytics
Statistical Analysis
Hypothesis testing, Bayesian methods, Time series
Data Processing
Pandas, NumPy, Spark, ETL pipelines
Data Visualization
Matplotlib, Seaborn, Plotly, D3.js, Tableau
R Programming
ggplot2, dplyr, Statistical modeling, Shiny
Blockchain & Emerging Tech
Blockchain Analytics
DeFi protocols, Smart contracts, Web3 integration
Risk Assessment
Digital asset evaluation, Control frameworks
Data Privacy
Deidentification, Synthetic data, Privacy-preserving ML
API Integration
Claude, GPT-4, ElevenLabs, Custom API development
05 Academic Background
Master of Data Science
The University of Western Australia
2023 – 2025 (Completed) | Thesis Distinction
Dissertation: Temporal Geometric Neural Networks for Rumour Detection
Key Achievements:
- Developed insights into the efficacy on temporal architectures for rumour detection
- Developed various applications using web frameworks and python ML libraries
- Created a de-identification platform for medical-data privacy
Bachelor of Commerce (Finance)
Curtin University
2020 - 2023
Key Focus Areas:
- Financial Analysis and Modeling
- Investment Management
- Corporate Finance
06 Aside Interests
Music & Creativity
Passionate pianist and guitarist with a preference in jazz improvisation and composition.
Lifelong Learning
Avid reader with a non-fiction preference, learning and keeping up to date with the latest developments in my field.
Community Impact
Volunteer experience in education, community events, and piano playing for aged care facilities.
Precision & Craft
Expert in origami, with a keen eye for detail and a passion for intricate, long lasting designs.
"Technology is how I turn complex questions into clear answers. Moving from finance into AI, I stay driven by curiosity—testing ideas, learning constantly, and building tools that make data work for people."
I'm always excited to discuss new opportunities in AI, data science, and innovative technology projects. Whether you're looking to collaborate on research or need expertise in graph neural networks, let's talk.