Huizhou University
Bachelor's degree, Music Performance
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I have 6+ years of experience in frontend engineering for complex SaaS products, with a strong foundation in code comprehension, logical analysis, and data quality standards — skills that translate directly into data labeling and AI training tasks. Since late 2024, I have been actively working in the AI space: independently developing AI-powered tools using mainstream APIs (Anthropic, OpenAI), producing 40+ AIGC video works through full-pipeline content creation, and designing automated test questions for the Playwright MCP platform, where I was responsible for solvability verification and answer path design. What sets me apart is the combination of technical depth and creative range. My engineering background makes me well-suited for code-type, logic-type, and Chinese text annotation tasks, while my hands-on experience evaluating AI-generated content gives me a practical understanding of model output quality and edge cases. I also hold a Bachelor's degree in Music Performance, which supports audio aesthetics and genre classification tasks. I have cross-cultural collaboration experience from working on a US-based SaaS team and am comfortable with English-track labeling assignments.
Bachelor's degree, Music Performance
Frontend Engineer