Worked on the truefoundry/getting-started-examples repository to deliver a LangGraph-based banking agent, building a complete project scaffold with Dockerized deployment, FastAPI endpoints, and Streamlit integration for interactive account management and transactions. Improved backend reliability by ensuring asynchronous account operations were properly awaited, preventing race conditions and enhancing data consistency. Enhanced error handling to protect sensitive information, returning generic messages when AI responses failed. Later, contributed to BerriAI/litellm by refactoring Python test logic for budget features, tightening validation and reducing test flakiness. Demonstrated skills in Python, Docker, asynchronous programming, and backend development, with a focus on robust, production-ready workflows.