
Worked on the Algumithm/study repository to deliver a set of algorithmic features and structural improvements focused on maintainability and onboarding efficiency. Developed multi-language solutions in C++ and Python for BOJ 14889 Start and Link, standardizing file organization to streamline problem coverage. Implemented a dynamic programming approach for the BOJ 퇴사2 scheduling-profit problem, emphasizing algorithm design and code clarity. Led codebase refactoring by establishing weekly problem folders, updating naming conventions, and introducing test scaffolding. These efforts enhanced repository hygiene, improved navigation, and reduced onboarding time, supporting faster and safer iterations for competitive programming and collaborative algorithm development.
February 2025 - Algumithm/study: Delivered a focused set of restructuring and algorithmic enhancements to improve maintainability, onboarding speed, and problem coverage. Key work includes multi-language BOJ problem implementations with standardized organization, a DP-based solution for a scheduling-profit problem, and comprehensive codebase maintenance to establish a scalable project structure, test scaffolding, and naming conventions. These efforts reduce time-to-value for new contributors and enable faster, safer feature iterations across algorithmic challenges.
February 2025 - Algumithm/study: Delivered a focused set of restructuring and algorithmic enhancements to improve maintainability, onboarding speed, and problem coverage. Key work includes multi-language BOJ problem implementations with standardized organization, a DP-based solution for a scheduling-profit problem, and comprehensive codebase maintenance to establish a scalable project structure, test scaffolding, and naming conventions. These efforts reduce time-to-value for new contributors and enable faster, safer feature iterations across algorithmic challenges.

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