Pratamesh developed a LangGraph-based banking assistant for the truefoundry/getting-started-examples repository, delivering a full project scaffold with Dockerized deployment, FastAPI endpoints, and Streamlit integration for interactive account management and transactions. He improved backend reliability by ensuring asynchronous account operations were properly awaited, addressing race conditions and data consistency. Pratamesh also enhanced error handling to prevent sensitive information leaks, returning generic messages when AI responses failed. In the BerriAI/litellm repository, he refactored Python test logic for budget features, tightening validation and reducing test flakiness. His work demonstrated depth in backend development, asynchronous programming, and robust testing practices using Python and Docker.