Virtual Try-On Extension
activeChrome extension for trying on clothes using diffusion models
Hi, I'm
Data / Cloud / AI Engineer
I build data pipelines, ship AI features, and occasionally solder things. This is my notebook — where I document what I'm building and what I've learned.
Designing security-critical data pipelines capturing vulnerability signals across 70,000+ applications.
Built enterprise pipelines on AWS with dbt, Airflow, Apache Iceberg, and Grafana dashboards.
Exploring AI-driven approaches to reskilling through the GetReskilled.ai project.
Developed flight software for the Honeyeater payload — apogee detection and dual deployment.
Converted legacy IDL code to Python for global weather trend prediction.
Managed end-to-end security testing of 33 high-risk applications. Automated Jira ticket creation for upcoming security assessments.
Designed invoicing UI in Figma, built middleware with React and Node.js, and integrated an OCR API for third-party clients.
Supported the Basel III team with data profiling for risk models. Automated data visualisations using R.
Built a real-time dashboard reading SQL scripts to report on duplicate and orphan accounts for the Identity Management team.
1st Class Honours. Women in Engineering Scholar. Exchange at Lancaster University.
Chrome extension for trying on clothes using diffusion models
Custom 20mm PCB with TTP223 touch IC for capacitive-touch LED earrings
Exploring how AI can reshape the way people learn and reskill — built as part of the Blackbird Giants program
Enterprise data pipelines capturing vulnerability signals across 70,000+ applications at Macquarie Group
1st place company-wide AI Hackathon MVP: auto-reply bot with domain-specific knowledge on internal security tools.
Custom avionics payload for electronic and dual deployment, built with the UTS Rocketry team
1st place UNSW x Atlassian Datathon project — simulating 1,000 rounds of matches to predict World Cup qualifiers