Worked on backend and API development using Python, focusing on reliability and feature delivery across two repositories. In manifold-inc/targon, addressed a critical edge case in chat prompt handling by updating chat template verification to ensure generation prompts are included during processing, which improved the stability of chat-driven features. For kvcache-ai/sglang, delivered an API enhancement that exposes the maximum model context length in the /v1/models response, updating the data model and adding tests to verify correctness. Emphasized robust model serving and maintained code quality through targeted bug fixes and feature development, demonstrating a methodical approach to backend engineering.