GraphRAG
A graph-based Retrieval-Augmented Generation system that leverages knowledge graphs to enhance contextual understanding and improve LLM responses through structured relationship mapping.
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Sydney — |
Making
data think.
PhD in Computer Science. I build machine learning systems that move from raw, messy data to decisions that hold up — in production, under pressure, at scale.
About Me
Most machine learning work looks clean in a notebook and breaks in production. I spent a PhD figuring out why — and the last four years at Prospa making sure it doesn't.
I'm a Data Scientist and ML Engineer based in Sydney. I build models that go into production, pipelines that don't fall apart when real data shows up, and dashboards that catch drift before anyone else notices.
Generative AI is where my head is right now — specifically what happens when LLMs meet messy, real-world business data.
I also write about this work. Not the polished version — the actual version.
Featured Projects
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ALAP - Automated Learning Assessment Platform
Designed and implemented an intelligent platform for automated assessment of learning outcomes. Features include adaptive testing, performance analytics, and personalized feedback systems.
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Systematic Literature Survey of XAI
A comprehensive systematic literature review of Explainable AI (XAI) techniques, analyzing 200+ papers to map the landscape of interpretability methods, evaluation metrics, and application domains.
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Explainable AI (XAI) Framework
Built a comprehensive framework for making machine learning models interpretable and transparent. Implemented various XAI techniques including SHAP, LIME, and feature importance analysis.
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AutoML Platform
Developed an automated machine learning platform that streamlines the model development process. Features include automated feature engineering, hyperparameter optimization, and model selection algorithms.
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Evidence Discovery Dashboard
AI-Powered Legal Document Analysis Platform
A comprehensive dashboard for legal professionals to analyze and discover evidence from large document collections using advanced AI and machine learning techniques.
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Experience & Education
Experience
2024 - present
Senior Generative AI Engineer (Research Lead)
Macquarie University
Designed and deployed RAG-based and GraphRAG-based intelligent advising solutions, including chatbot, for courses and student progression, leveraging multi-agent LLM orchestration and knowledge graphs to deliver scalable, explainable, and policy-compliant decision support.
2020 - present
Data Scientist
Prospa
Built ML models, explainability frameworks, and production data pipelines, complemented by drift-monitoring dashboards to ensure performance stability and business impact.
2019 - 2020
Machine Learning Engineer
Cognitivo
Built and optimized a computer vision model for road sign detection and tracking, improving accuracy and real-time performance, and containerized the solution using Docker for scalable and reproducible deployment.
2014-2018
Senior Lecturer
Namal
Designed and delivered undergraduate and postgraduate coursework in computer science and data science. Developed lab exercises that bridged theory and hands-on implementation, giving students practical experience with real tools and datasets.
Education
2024
Ph.D. in Computer Science
Macquarie University
2022
Masters of Research
Macquarie University