PhD Candidate & Teaching Assistant
Advancing AI safety through PhD research while sharing knowledge as a Teaching Assistant at UWA. Experienced Data Science Specialist with expertise in GraphRAG systems and enterprise AI applications.
4+
Years Experience
3+
Publications
8+
Projects
1
Best Demo Award
My passion for technology began during my undergraduate studies in Electronic and Information Engineering. What started as curiosity about how systems work evolved into a deep commitment to making AI systems safer and more reliable for everyone.
Currently pursuing my PhD in Computer Science at the University of Western Australia, I focus on a critical challenge in AI safety: investigating prompt injection attacks against LLM-integrated mobile robotic systems. My research has already shown promising results, achieving over 30% improvement in attack detection.
Recently, I completed a valuable internship as a Data Science Specialist at Telstra, where I designed and implemented cutting-edge GraphRAG pipelines. This experience allowed me to bridge theoretical research with practical enterprise applications, creating systems that serve real users at scale.
Beyond technical work, I'm passionate about education and knowledge sharing. As a Teaching Assistant at UWA, I help shape the next generation of technologists through hands-on cybersecurity labs, cloud computing projects, and full-stack development courses.
Investigating prompt injection attacks in LLM-integrated robotic systems and developing robust defense mechanisms for mission-critical applications.
Teaching cybersecurity, cloud computing, and web development courses while mentoring the next generation of technologists at UWA.
Large Language Models (LLM)
95%
GraphRAG & Knowledge Graphs
90%
Prompt Engineering
88%
TensorFlow & PyTorch
85%
Multimodal AI Systems
82%
AI Safety & Security
90%
Python
95%
JavaScript/TypeScript
85%
Vue.js & React
88%
Spring Boot
82%
RESTful APIs
90%
Test-Driven Development
85%
Azure ML Studio
88%
AWS (Certified)
85%
Docker & Containerization
82%
Neo4j & Graph Databases
90%
Data Pipeline Design
88%
CI/CD Pipelines
80%
Academic Research
92%
Technical Writing
88%
Peer Review Process
85%
Conference Presentations
80%
Teaching & Mentoring
90%
Grant Writing
75%
University of Western Australia
Perth, WA
Conducting cutting-edge research in AI safety, specifically investigating prompt injection attacks against LLM-integrated mobile robotic systems. Developing robust defense mechanisms and advancing AI safety in embodied systems.
Key Achievements:
Researching prompt injection vulnerabilities in robotic systems
Developing defense mechanisms for LLM-robot integration
Achieved 30% improvement in attack detection accuracy
Publishing research in top-tier AI safety conferences
Technologies:
University of Western Australia
Perth, WA
Facilitating lab sessions and delivering tutorial lectures for undergraduate and postgraduate students across cybersecurity, cloud computing, web development, and database courses.
Key Achievements:
Designed Capture-the-Flag cybersecurity labs
Created AWS cloud infrastructure projects (EC2, S3, DynamoDB)
Built full-stack web applications with CI/CD pipelines
Improved course completion rates and student satisfaction
Technologies:
Telstra
Perth, WA
Designed and implemented end-to-end GraphRAG pipelines for Telstra Frontline salesforce data within the Data & AI department. Developed automated RAG evaluation systems and LLM-based classification tools.
Key Achievements:
Built GraphRAG pipeline with Neo4j and Docker containerization
Developed AutoEval system with 28 metrics for RAG evaluation
Implemented LLM question classification for response routing
Leveraged Azure ML Studio for scalable deployment
Technologies:
China Telecom
China
Rebuilt legacy CMS frontend using Vue.js, developed RESTful APIs with Spring Boot, and implemented Test-Driven Development practices.
Key Achievements:
Improved system performance and maintainability
Built scalable RESTful APIs with Spring Boot
Used MyBatis for SQL mapping and query handling
Followed TDD to ensure high code quality
Technologies:
Gillion Technologies
China
Maintained and enhanced enterprise maritime transport management system serving multiple clients using AngularJS and Spring Boot.
Key Achievements:
Enhanced enterprise maritime transport system
Built scalable frontend with AngularJS
Optimized deployment processes with DevOps teams
Served multiple enterprise clients
Technologies:
Ph.D. in Computer Science
Research Focus: AI Safety, LLM Security, Prompt Injection Attacks
Master of Software Engineering
GPA: 6.42/7.0 | WAM: 80.42
Bachelor of Electronic and Information Engineering
WAM: 85.69
Whether you're interested in AI safety research, data science opportunities, or educational initiatives, I'm always excited to collaborate with like-minded individuals and organizations.