Yunnan Agricultural University
Bachelor of Computer Science, Computer Science and Technology
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I have 9 years of experience in software engineering with extensive hands-on involvement in AI-powered products, data processing workflows, and quality assurance. As a heavy user of LLMs and AI tools, I am familiar with prompt engineering, agent workflows, AI evaluation methodologies, and the importance of high-quality training data. Throughout my career, I have worked on projects involving data extraction, classification, validation, annotation-assisted tooling, automated content processing, and large-scale data management systems. My strong technical background enables me to quickly understand annotation guidelines, identify edge cases, maintain consistency, and deliver high-accuracy results across text, image, and structured data tasks. What sets me apart is my combination of technical expertise and attention to detail. I have built AI-enhanced platforms, low-code systems, automated data processing tools, and quality-control workflows for enterprise-scale applications. I am proficient at following complex instructions, conducting thorough reviews, ensuring data quality, and adapting to new annotation standards quickly. With experience collaborating across cross-functional teams and delivering high-quality work under strict deadlines, I can contribute effectively to AI training data projects that require precision, analytical thinking, and continuous learning.
Bachelor of Computer Science, Computer Science and Technology