
Aniruddha Rangole developed core backend features for the Purdue-ACM-SIGAPP/housing-backend repository, focusing on robust data modeling and API design using C# and MongoDB. He introduced a DiningCourt entity and data model to centralize dining services configuration, supporting multiple payment methods and busy hour tracking for improved data management and future analytics. In subsequent work, Aniruddha implemented a polymorphic Building data model with BsonDiscriminator attributes, enabling type-based retrieval and streamlined deserialization for entities like Housing and DiningCourt. He also simplified the API surface by removing redundant endpoints, demonstrating thoughtful backend architecture and attention to maintainability in database-driven applications.

January 2025 monthly summary focusing on key accomplishments, with emphasis on delivering business value and technical achievements for the Purdue-ACM-SIGAPP/housing-backend workstream.
January 2025 monthly summary focusing on key accomplishments, with emphasis on delivering business value and technical achievements for the Purdue-ACM-SIGAPP/housing-backend workstream.
November 2024: Delivered DiningCourt Entity and Data Model in housing-backend to centralize dining services configuration. The model includes fields for food options, payment methods (swipes, dining dollars, BoilerExpress), and busy hours, enabling robust management of dining court information and paving the way for frontend integration and analytics. No major bugs reported this month.
November 2024: Delivered DiningCourt Entity and Data Model in housing-backend to centralize dining services configuration. The model includes fields for food options, payment methods (swipes, dining dollars, BoilerExpress), and busy hours, enabling robust management of dining court information and paving the way for frontend integration and analytics. No major bugs reported this month.
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