Stephen Ge developed a Lean4 Formal Proof Verification Resource Server for the NVIDIA-NeMo/Gym repository, enabling automated proof compilation through a dedicated /verify API endpoint and supporting dataset. This backend service, implemented with Python and Lean4, streamlined the validation of proof-based configurations, reducing manual verification and improving reproducibility within Gym projects. In parallel, Stephen enhanced documentation reliability for NVIDIA/NeMo-Skills by correcting the AIME evaluation example model path, which minimized build and runtime errors and improved user onboarding. His work demonstrated depth in backend development, formal verification, and documentation, contributing to more robust and maintainable machine learning infrastructure across both repositories.