Daniel Wallis enhanced the SuadeLabs/fire repository by introducing a schema modification to support more precise credit risk calculations for financial instruments. He added a monetary flag to both loan and security schemas, enabling the system to distinguish monetary values and thereby improve the fidelity of credit risk change tracking. This update, implemented using JSON and leveraging his skills in data modeling and schema design, addressed the need for more accurate risk analytics and downstream reporting in financial systems. The work focused on improving data representation, supporting better lending decisions and regulatory compliance, and demonstrated a targeted, well-scoped engineering contribution.