
Manh Nguyen developed a backend feature for the suyttthideptrai/SS1_2023_StableMatchingSolver_Backend repository, enabling an end-to-end Stable Matching workflow. He implemented the mapping logic from NewStableMatchingProblemDTO to OTOProblem, decoding individual requirements, constructing matching data, and building preference lists to support downstream processing. Using Java and applying object-oriented programming principles, Manh also initialized a fitness evaluator to facilitate evaluation steps within the workflow. His work focused on backend development and data mapping, laying a solid foundation for future testing and integration with solver components. The depth of his contribution established essential infrastructure for stable matching problem processing.

December 2024: Backend feature delivery focusing on enabling end-to-end Stable Matching workflow. Implemented the Stable Matching Problem DTO to OTOProblem mapping in the backend repository suyttthideptrai/SS1_2023_StableMatchingSolver_Backend. The work decodes individual requirements, constructs matching data, builds preference lists, and initializes a fitness evaluator to support downstream processing and evaluation.
December 2024: Backend feature delivery focusing on enabling end-to-end Stable Matching workflow. Implemented the Stable Matching Problem DTO to OTOProblem mapping in the backend repository suyttthideptrai/SS1_2023_StableMatchingSolver_Backend. The work decodes individual requirements, constructs matching data, builds preference lists, and initializes a fitness evaluator to support downstream processing and evaluation.
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