Roobadharani Deva enhanced bounding box processing in the InticsAI-Dev/handyman repository by introducing new data model fields to store both original and contracted bounding box coordinates, supporting more accurate object detection pipelines. She implemented a conditional activator pattern in Java to modify bounding box data during parsing, ensuring edge cases preserved original values and preventing data loss. Her work included improving error handling by replacing standard output with structured logging and wrapping exceptions for better traceability. Through focused backend development and data processing, Roobadharani’s contributions increased data integrity, observability, and reliability for downstream model consumers, reflecting thoughtful engineering depth.