During March 2025, Healmysoul worked on the NVIDIA/NeMo-RL repository, focusing on backend development and natural language processing using Python. They addressed a critical bug in the Language Model Message Formatting Loop, refining how messages are formatted based on preceding log entries. By restructuring the formatting logic in llm_message_utils.py, Healmysoul improved the reliability and accuracy of prompt construction for language models in reinforcement learning scenarios. Their solution ensured that formatting calls were correctly sequenced, reducing misformatted prompts and enhancing downstream task performance. The work demonstrated careful debugging and a deep understanding of messaging workflows, contributing to more predictable production behavior.