Wenxiao Zhang

Academic Tutor at The University of Western Australia

Western Australia
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Summary

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Wenxiao Zhang is a PhD candidate in Computer Science based in Western Australia with five years of industry experience building production ML and software systems. He has practical experience deploying LLM-powered solutions and evaluation pipelines—at Telstra he designed a GraphRAG pipeline, an automated RAG evaluation system with 26 metrics, and used Azure ML and Neo4j to improve search and retrieval for frontline data. As an academic tutor at The University of Western Australia he teaches cybersecurity, cloud computing, agile web development and intelligent agents, bridging research and hands-on instruction. His background spans software engineering roles in China and web development for non-profits, and he favors test-driven development and containerized, scalable architectures. Outside work he balances serious technical focus with personal interests in anime and gaming, which inform a creative approach to agent design.
code5 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Western Australia
bookBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Xiamen University of Technology
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Victoria University of Wellington
languagesChinese, English
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Github Skills (22)

simulation10
graph-algorithms10
cybersecurity10
discrete-event-simulation10
python-bindings8
agent-based-modeling7
benchmarking7
pubmed7
knowledge-graph6
optimization5
pipeline5
python5
cloud-computing5
evaluation5
multimodal4

Programming languages (7)

TypeScriptDockerfileJavaScriptHTMLJupyter NotebookMATLABPython

Github contributions (5)

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MoeBuTa/MoeBuTa

Sep 2022 - Jun 2026

Contributions:101 pushes, 24 comments, 24 issues in 3 years 9 months
MoeBuTa/LLMEyesim

Dec 2024 - Jul 2025

A Study on Prompt Injection Attack Against LLM-Integrated Mobile Robotic Systems
Contributions:3 releases, 18 PRs, 23 pushes in 6 months
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