Robert Yang developed security-focused training data augmentation for the Tencent/AI-Infra-Guard repository, targeting language model evaluation in cyberattack and CBRN (chemical, biological, radiological, and nuclear) scenarios. He expanded the training dataset by creating and integrating new JSON test data files, enabling more comprehensive assessment of model content generation under strict cybersecurity and safety constraints. Leveraging skills in AI training, data modeling, and security analysis, Robert’s work provided a foundation for safer model training practices. The project demonstrated depth in understanding both the technical and domain-specific requirements, though the scope was limited to a single feature delivered within a one-month period.