孙广宁

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Freelancer Overview

I hold a Master of Science degree in Software Engineering from the University of Science and Technology of China (USTC, 2016) and have extensive experience working on AI systems, cloud infrastructure, and large language model applications. My background includes projects related to AI-powered fault localization systems, intelligent agent and digital employee platforms, GPU/model adaptation, and OpenStack cloud environments. These experiences have strengthened my ability to analyze complex technical data, understand structured and unstructured information, and evaluate AI-generated outputs effectively. My core technical skills include Python, Linux, Docker, Kubernetes, OpenStack, LLM applications, Prompt Engineering, and JSON-based workflows. In the field of AI Training and Data Annotation, I have experience with LLM evaluation, prompt analysis, response quality assessment, and technical content review. I am capable of identifying logical inconsistencies, factual inaccuracies, and context-related issues in AI-generated responses. With strong analytical skills, technical expertise, and attention to detail, I am well-suited for roles such as AI Trainer, LLM Evaluator, and Data Labeler. I also possess strong English reading and comprehension skills (CET-6).

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