PORTFOLIO — MELBOURNE, AUS
AI Engineer
THE ANALYST BEHIND THE NUMBERS
I'm an AI and data specialist based in Melbourne. My work bridges statistical rigor and real-world application — from automation systems processing thousands of records to computer-vision models watching live traffic.
Data is more than numbers: it's how organisations understand decisions, improve systems and move with confidence. Every build starts with the same question — what is this data really telling us?
Beyond the datasets, you'll find me experimenting with new technologies and sharing what I learn — mentoring students, running workshops, and helping teams use data with confidence.
WHAT I BUILD WITH
Systems that reason over messy, real-world data — and ship.
Models trained, tuned and measured until the numbers hold in production.
Teaching cameras to understand traffic, gestures and the physical world.
THE TOOLBOX
SQL · MySQL · Oracle · Google Cloud Platform · Docker
Python — pandas, NumPy, scikit-learn, PyTorch, OpenCV · C++ · C# · JavaScript · Vue.js
Power BI · Tableau · SAS Viya · matplotlib
Regression · Hypothesis testing · YOLO · Random Forest · SVM · Neural networks
WHERE THE NUMBERS COME FROM
10+ automation workflows across Power Automate and Copilot Studio, lifting efficiency by 40%; invoice approvals cut from 2 days to under 2 hours; geolocation check-in app serving 450+ staff; onboarding admin workload down 30%.
15,000+ student records processed and 5,000+ assessments validated with 20+ staff, cutting errors by 25%; 10,000+ data points reconciled to deliver statewide exam results for 50,000+ students on time at 100% compliance.
Led a 12-member team building a YOLOv8 traffic system across 10,000+ images, lifting accuracy by 30%; managed 120+ hours of annotation and mentored 30+ peers to a 40% efficiency gain, delivering 100% on time — 1st place at Innofes 2024.
Predictive models over 30+ banking datasets cut loan misclassification by 35%; insights presented to 100+ consultants and directors nationwide.
Automated Power BI dashboards and SQL workflows across 6 branches — reporting time down 50%, tracking accuracy up 25%, KPI discrepancies down 30%.
Guided 30+ IT and data science students through programming workshops and career mentoring.
SELECTED WORK
Award-winning real-time traffic congestion detection using computer vision.
Detects vehicles, then tracks density and speed across 10,000+ images to flag congestion patterns for smarter urban routing. Built leading a 12-member team — 1st place at Innofes 2024.
Deep learning image classification achieving 98% accuracy using ResNet50.
ResNet50 + CNN classifying vegetables from still images and live video feeds — 98% accuracy inside the first training epoch, built with smart agriculture in mind.
Real-time gesture recognition and virtual drawing powered by MediaPipe and OpenCV.
Hand-landmark detection turns any webcam into a drawing tool — sketch in the air, in real time. Open source with 18+ GitHub stars.
MORE BUILDS
Fiscal-year performance, profitability heatmaps and customer drilldowns for strategic decisions.
POWER BI · SQL · DAXWearable-driven supplement recommendations — People's Choice Award, VicHack 2024.
PYTHON · FLASK · POWER BIInterpretable stroke-risk classification with engineered features and balanced data.
PYTHON · SCIKIT-LEARNRandom Forest beat SVM, decision trees and neural nets on RMSE for urban energy planning.
PYTHON · REGRESSION MODELSPROOF OF WORK
AI system detecting modern-slavery risk in corporate transparency reports.
1st place nationally for a 95.93%-accuracy classification model on financial data.
Dual awards for the YOLOv8 traffic detection project and its presentation.
NutriSync, an AI-powered personalised health recommendation app.
Bachelor of Computer Science (Data Science)
High Distinction, GPA 7.0/7.0 · International Excellence Scholarship (25% tuition) · SEBE Peer Mentor · Business Analytics, Software Engineering & Vietnamese Student Clubs
Diploma of Information Technology
High Distinction, GPA 7.0/7.0 · Faculty assistant for the Data Science Concepts unit (SIT112) · Student Committee — organised 80+ attendee events
Google Advanced Data Analytics
Predictive modelling and data storytelling
Neural Networks & Deep Learning
CNNs and computer vision for real-world AI
SAS Programming 1: Essentials
SAS Base programming and statistical analysis
Ready to turn data challenges into opportunities? Whether it's analysis, visualisation or predictive modelling — let's talk.