About Me
Through collaborative projects in Software and STEM (Science Technology Engineering Mathematics) fields, I have gained transferrable and technical skills that can be applied to any professional engineering development environment. This includes producing a Bluetooth messaging application suitable for Android-based mobile devices.
Supplementing this, the UTS Software Engineering Studios allowed me to work on large software projects with many contributors. I am highly interested in the prospect of growing as a developer and as a researcher in every opportunity possible.
I believe in lifelong learning and hope that every opportunity will help me gain a better understanding of the world and its systems.
Research Experience
Doctor of Philosophy (PhD) — Current
University of Technology Sydney
2025 – Present
My PhD research investigates privacy and data risks in agentic and adaptive AI systems, and develops a practical solution framework supported by empirical taxonomies and tooling. Several outputs from this research are currently undergoing peer review, providing early external validation and feedback to inform further development. These include:
- A systematic literature review following PRISMA guidelines that identifies privacy and data risks in agentic AI systems — submitted to the Software and Information (SAI) Conference 2026.
- A demonstration paper of an initial version of the proposed solution framework — submitted to the 48th International Conference on Software Engineering (ICSE 2026).
- A submission to the ICSE 2026 Doctoral Symposium track.
- A study on privacy risk management in Agentic AI systems — submitted to the International Conference on Advanced Information Systems Engineering (CAiSE 2026).
Prior work contributing to these outputs includes the development of a structured taxonomy of data risks in AI and quantum computing contexts (Billiris, 2025a), and an extended taxonomy focusing on data privacy-specific risk dimensions within AI systems (Billiris, 2025b). These studies provide empirical and conceptual grounding for modelling privacy risks that emerge from adaptive and distributed system behaviours. Collectively, these submissions support community engagement and the iterative refinement of both the taxonomy and the proposed solution framework.
- Billiris et al. (2025a). A Taxonomy of Data Risks in AI and Quantum Computing (QAI): A Systematic Review. arXiv preprint. arXiv:2509.20418
- Billiris et al. (2025b). Privacy in the Age of AI: A Taxonomy of Data Risks. arXiv preprint. arXiv:2510.02357
Honours Project
University of Technology Sydney
January 2023 – August 2024
- A year-long research project investigating the intersection of Generative Artificial Intelligence (GAI) and copyright law, culminating in the development and validation of the Copyright Health Checker (CHC) tool.
- Achieved High Distinction – 41029 Engineering Research Preparation (95/100) and 41030 Engineering Capstone (95/100).
- Published work on CHC available on ACM Journal & ACIS2024 Conference
Experience
Casual Academic
University of Technology Sydney
February 2023 - Present
Performed activities such as leading tutorials, blended learning (online), and demonstrations, as well as marking, student consultations, and administrative duties.
Software Engineer
Macquarie Group
February 2024 - Present
Performed activities related to AWS Cloud Security and FinOps, including supporting cloud operations, enhancing security practices, and contributing to cost optimisation initiatives.
Sales Consultant
Tommy Hilfiger
November 2019 - October 2025
Completed various duties including customer service, register work, stock lifecycle, cleaning, and overseeing the daily store operations.
Faculty Assessment Partner
University of Technology Sydney
July 2023 - November 2023
Faculty Assessment Partner at UTS, specialising in GenAl initiatives and academic integrity review, enhancing student experience through support, redesign, consultations, and resource creation.
Apple Foundation Program Participant
UTS
January - February 2023
The Apple Foundation Program at UTS provided me with a challenge-based learning environment where I could get firsthand knowledge of the creative process required to address real-world issues, work in diverse teams, and create apps using the iOS ecosystem.
Software Engineering (Intern)
AgriWebb
February 2022 - June 2022
The UTS Software Development Studio's partnership with AgriWebb provided me with an opportunity to develop a Python machine learning algorithm, as well as experience in complex data querying and analysis in Snowflake SQL Data Warehouse.
Software Engineer (Intern)
InfoPoint
July 2021 - February 2022
• Executed full lifecycle software development • Integrated software components into a fully functional software system • Developed software verification plans and quality assurance procedures • Documented and maintained software functionality • Worked collaboratively with the directors, stakeholders, and other technical team members • Regularly reported to the technical lead on a formal and informal basis about the status of assigned tasks • Provided timely technical support and issue resolution to customers
Sales Assistant
Mimco
November 2019 - February 2020
Completed a variety of tasks, including stock management, customer service, register work, and housekeeping.
Education & Skills
University of Technology Sydney
Doctor of Philosophy
2025 - 2027 • Australia
University of Technology Sydney
Bachelor's of Engineering, majoring in Software (Honours)
Bachelor's of Science, majoring in Mathematics
2020 - 2023 • Australia
- Achieving a 6.57/7 GPA (High Distinction Average)
- Achieved High Distinction in Programming Fundamentals, Database Fundamentals
- Achieved High Distinction in Introduction to Data Analytics, Data Structures and Algorithms
- Achieved High Distinction in Business Requirements Modelling
Riverside Girls High School
NSW Higher School Certificate
2014 - 2019 • Australia
- Years 7-10 Student Representative Council Member
Programming Languages
Applications
Professional Skills
Languages
Featured Projects
Data Engineering Layer for Telemetry Federation
UTS
PhD Research Project
A data engineering solution for federating telemetry data, enabling efficient data collection, processing, and analysis across distributed systems.
Privacy Anonymisation Risk Assessor (PARA)
UTS
PhD Research Project
A tool for assessing privacy risks in data anonymisation processes, helping organisations evaluate and improve their data privacy measures.
VERSA (Versatile Extensible Risk and Security Assessor)
UTS
PhD Research Project
A versatile and extensible tool for assessing security risks across various domains, providing comprehensive security evaluation capabilities.
AIPRATool: AI Privacy Risk Assessment Tool
UTS
PhD Research Project
A specialized tool for assessing privacy risks in AI systems, helping developers and organisations ensure compliance with privacy standards.
Copyright Health Checker (CHC)
UTS
Honours Research Project
Generative Artificial Intelligence (GAI) marks a transformative shift in creative landscapes, blurring the lines between human and machine-generated content. This capstone project developed the Copyright Health Checker (CHC) tool to identify and assess GAI system's copyright concerns through analysis of regulations, legislations, and legal cases spanning Australia, the UK, the US, and Europe.
The CHC tool has been developed based on the analysis of selected, publicly available copyright cases and academic literature. While it serves as an initial health checker for GAI system developers, it provides important insights for responsible GAI development and policy formulation in the digital era.
TextInsights
UTS
Software Engineer
A web application that uses Natural Language Processing to examine and provide insights into text, developed as part of the Software Innovation Studio subject.
Quality Assurance & Feature Development
InfoPoint
Software Engineer
Implemented comprehensive testing suite including Component, End-to-End, and Integration tests. Developed new Registers feature with Excel integration and enhanced search functionality.
Machine Learning Algorithm Development
AgriWebb
Software Engineer (Intern)
Developed Python machine learning algorithms and performed complex data querying and analysis using Snowflake SQL Data Warehouse.
ShuffleCook
UTS Apple Foundation Program
iOS Developer
Developed an iOS mobile application that helps users decide what to cook by providing random recipe suggestions and generating shopping lists for ingredients.
GroupBuddies
UTS
Software Engineer
Developed a web application for intelligent student-group management, featuring smart group sorting based on complementary student profiles and manual management options for students and tutors.
eRestaurant
UTS
Software Engineer
Created a web application for Le Bistrot D'Andre restaurant, implementing table booking and food ordering functionality with menu management features.