During March 2026, Daniel Farris developed the XSTest Safety Benchmark Resource Server for the NVIDIA-NeMo/Gym repository, focusing on automated safety evaluation for machine learning models. He designed a scalable backend in Python that processes 450 hand-crafted prompts, supporting three verification modes—string-match, LLM-as-judge, and WildGuard—to assess model compliance with safety standards. Daniel implemented a configurable judge workflow, reusable templates, and robust reporting scripts, enabling detailed analytics on safety compliance and risk areas. His work emphasized maintainability and automation, with comprehensive validation, unit testing, and CI integration, resulting in a reliable infrastructure for ongoing model safety evaluation and governance.