Worked on backend stability and data integrity for langchain-ai/langchain and NVIDIA/NeMo-Agent-Toolkit, focusing on robust error handling and input validation. Addressed edge cases in streaming JSON parsing for LLM outputs by refining string manipulation logic in Python, ensuring incomplete fragments with unterminated escape characters no longer disrupt downstream workflows. In the NeMo-Agent-Toolkit repository, improved the memory editing workflow by defaulting missing category fields to empty lists, preventing Pydantic validation errors and enhancing reliability. Emphasized careful handling of JSON parsing and data validation, contributing targeted bug fixes that strengthened the resilience of backend systems without introducing new features during the period.