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  • The University of Sydney
  • Sydney

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ZhihaoZhang97/README.md

Hi there, I'm Zhihao (Kenneth) Zhang! πŸ‘‹

πŸŽ“ M.Phil in AI (NLP) from the University of Sydney | πŸ“ Sydney, NSW

πŸš€ I'm an AI/ML Researcher and Engineer passionate about leveraging Large Language Models (LLMs), High-Performance Computing (HPC), and Cloud Technologies to solve complex problems, particularly in scientific domains.

  • πŸ”­ Currently working as an AI/ML Research Engineer focusing on:
    • Developing large foundational models and domain-specific LLMs.
    • Implementing statistical modeling and RAG systems for complex data analysis.
  • πŸ‘― I’m interested in collaborating on open-source AI projects, particularly in NLP and scientific AI applications.
  • πŸ’¬ Ask me about: LLMs, RAG Systems, Hugging Face Transformers, Python, PyTorch, AWS, Azure, GPU Computing.
  • πŸ“« How to reach me: [email protected] | LinkedIn
  • πŸ“„ Check out my recent publication on
    • BeefBot: Harnessing Advanced LLM and RAG Techniques for Providing Scientific and Technology Solutions to Beef Producers (COLING-2025 Accepted)
    • RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection (WWW-2025 Accepted)
    • From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation (EMNLP-2025 Accepted)

πŸ› οΈ Technologies & Tools

  • AI & Machine Learning: Python PyTorch Hugging Face LLMs & Generative AI GPU Computing

  • Cloud & Data: AWS AWS Lambda Azure SQL (Postgres) Vector Databases Big Data

  • Tools & Collaboration: Git Docker VS Code


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  1. RU-AI RU-AI Public

    [WWW'25] Official repo for paper: RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection

    Jupyter Notebook 7 1

  2. rag-agent rag-agent Public

    A simple full-stack RAG pipeline that supports document upload and chat.

    TypeScript