Phuc contributed to the huggingface/torchtitan repository by developing a flexible metrics processing configuration that enables per-model customization through the introduction of model_args in the build_metrics_processor function. This enhancement streamlined evaluation workflows and reduced code duplication when supporting new models. Additionally, Phuc improved the robustness of parameter counting for models with nested Embedding modules and resolved typing issues in ModelProtocol to better support class methods, increasing reliability for downstream tooling and developer experience. The work demonstrated depth in Python, deep learning, and type checking, addressing nuanced edge cases and enhancing the maintainability and flexibility of the codebase over a focused two-month period.