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Not a programmer, a creator.
🌍
Not a programmer, a creator.
  • Imperial College London
  • London, UK
  • 01:40 (UTC +08:00)

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Jing-yilin/README.md

πŸ‘‹ Hi there, I'm Yilin Jing!

Data Scientist | AI Researcher | LLM Engineer

Welcome to my GitHub! I am a passionate data scientist and AI researcher with a strong focus on large-scale model engineering, AI safety, and the ethical use of data. I specialize in designing advanced analytics solutions that drive digital transformation and optimize business processes.

  • πŸ“š Currently pursuing: MSc in Applied Computational Science and Engineering at Imperial College London, focusing on Machine Learning, Deep Learning, and AI Ethics.
  • πŸŽ“ Graduated with First-Class Honours in Communications Engineering from the University of Sussex.
  • πŸ› οΈ Skills: Python, MATLAB, JavaScript, Typescript, Machine Learning, Deep Learning, Large Language Models (LLMs), AI safety, Data Analysis, and more.
  • πŸ§‘β€πŸ’» Founder & CEO of WISUP Technology Co., Ltd., where I lead the development of innovative AI-powered tools and platforms.
  • πŸ”§ Projects:
    • E2M API: Converts any file format into Markdown using advanced AI models. Check it out here.
    • Law Contract Privacy Redactor: A local privacy redaction tool, improving model accuracy from 73% to 96%.

I also have experience working with AI agents, LLM fine-tuning, and retrieval-augmented generation (RAG) systems. My work spans research, open-source contributions, and product development.

🧠 Research Interests:

  • AI Model Robustness and Interpretability
  • AI Ethics and Data Privacy
  • Blockchain and AI Integration

πŸ† Achievements:

  • H Prize in the 2022 Mathematical Contest in Modeling (MCM)
  • Best Research Project Award from the University of Sussex

πŸš€ Let’s Connect!

Thanks for visiting my GitHub! I am always excited about new projects and collaborations, especially in AI research, model engineering, and data-driven solutions.

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  1. E2M E2M Public

    E2M API, converting everything to markdown (LLM-friendly Format).

    Python 93 11