Tcapelle contributed to the reliability and maintainability of machine learning infrastructure across two open-source repositories. In huggingface/trl, Tcapelle resolved a critical bug in the GRPO training pipeline by correcting a variable name in the reward function initialization, enabling the trainer to run end-to-end and reducing workflow downtime. Later, in wandb/docs, Tcapelle improved configuration management by reorganizing translation configuration files, renaming the directory for clarity without altering runtime behavior. These contributions involved Python, YAML, and scripting, demonstrating a focus on targeted bug fixes and maintainable refactoring. The work addressed specific workflow blockers and improved project structure for future development.