Shenzhen University
Bachelor, Computer Science
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My background in computer science gives me a strong foundation in programming, algorithms, databases, operating systems, and software engineering. I am also familiar with Web3 development, including Solidity, EVM, Solana, and wallet interaction workflows, which allows me to evaluate technical AI outputs more effectively. In addition, I can work across Chinese, English, and basic Portuguese, making me suitable for multilingual data labeling, AI response evaluation and coding task review. I have hands-on experience working with AI-related tasks through university labs and personal projects focused on LLM applications, RAG systems, and AI-assisted development workflows. In my RAG system lab, I built a simple document question-answering pipeline using LangChain and tested how chunk size, Top-K retrieval, overlap, and retrieval settings affected answer quality.
Bachelor, Computer Science
Student