Pradeep worked on the NousResearch/hermes-agent repository, focusing on enhancing the /v1/runs API to better handle conversation history in multi-turn scenarios. Using Python and backend development skills, Pradeep implemented logic to extract and preserve previous messages as context when the API receives an array of messages, ensuring reliable context retention for users. The solution included input normalization by flattening multi-part content blocks to text, applied only when explicit conversation history was absent. This targeted update addressed context loss issues, improved the reliability of run results, and contributed to a smoother user experience, demonstrating thoughtful API design and disciplined engineering.