Emmanuel developed a HIPs 2025–compliant hazard data model for the IFRCGo/pystac-monty repository, focusing on updating hazard code structures and keyword handling to improve interoperability and data quality for risk profiling outputs. Using Python, he applied skills in API development, data processing, and software design to implement the new model as a single feature change, ensuring alignment with upcoming HIPs standards. The work included updating related functions and establishing a foundation for future HIPs migrations and integrations. Emmanuel’s contribution addressed evolving compliance requirements and enhanced the consistency of hazard data, though the scope was limited to one feature without bug fixes.