Worked on reliability improvements for analytics and task execution systems, focusing on backend stability and data integrity. In the flowiseai/flowise repository, addressed a critical bug in TypeScript that ensured the 'opik' key was always present in analytics return payloads, preventing runtime errors and improving telemetry data quality. Later, in the crewAIInc/crewAI repository, fixed a Python bug in the A2A task execution path by unconditionally restoring task output state, which prevented unintended object mutation and reduced production risk. Demonstrated strong debugging skills and attention to code quality across both TypeScript and Python, emphasizing maintainability and robust backend development practices.