PhD Candidate & Teaching Assistant
PhD researcher developing secure and robust embodied agents using large language models while teaching at UWA. Data science experience in GraphRAG systems and enterprise applications.
4+
Years Experience
3+
Publications
8+
Projects
1
Best Demo Award
My interest in technology started with curiosity about how systems work, which has led me to focus on making embodied AI systems safer and more reliable.
Currently pursuing my PhD in Computer Science at the University of Western Australia, I focus on developing secure and robust embodied agents using large language models. My research explores safety and security challenges in LLM-integrated robotic systems.
Recently, I completed an internship as a Data Science Specialist at Telstra, where I designed and implemented GraphRAG pipelines. This experience helped me connect theoretical research with practical enterprise applications.
Beyond research, I enjoy teaching and sharing knowledge. As a Teaching Assistant at UWA, I work with students on cybersecurity labs, cloud computing projects, and web 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.
University of Western Australia
Perth, WA
Researching secure and robust embodied agents using large language models, developing defense mechanisms and safety protocols for LLM-integrated robotic systems.
Key Achievements:
Researching security vulnerabilities in embodied AI systems
Developing defense mechanisms for LLM-robot integration
Working on improving robustness of embodied agents
Contributing to embodied AI safety research
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
Interested in embodied AI research, data science opportunities, or educational initiatives? I'm open to collaboration and discussions.