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TextI am an AI data annotation and dataset development specialist with hands-on experience in building, curating, and refining high-quality training data for advanced AI models. My work spans creating and evaluating conversational datasets for large language models, annotating dialogue to ensure natural and contextually appropriate responses, and developing challenging benchmark datasets in computer science and mathematics to rigorously test AI reasoning. I have contributed to audio data processing and fine-tuning ASR models for Chinese speech recognition, as well as collaborating with cross-functional teams to establish annotation guidelines and quality standards. My technical toolkit includes Python, C++, PyTorch, TensorFlow, and a deep understanding of domains such as computer vision, NLP, and complex problem-solving. I am passionate about ensuring the accuracy, consistency, and impact of training data to drive meaningful improvements in AI performance.
authored exceptionally difficult problems in advanced algorithms and mathematics to benchmark AI reasoning capabilities.
I defined comprehensive evaluation criteria and assessed models on factual accuracy and reasoning, directly mirroring the responsibilities of this role.
Doctor of Philosophy, Computer Science
Master of Artificial Intelligence, Artificial Intelligence
AI Intern
