
During February 2025, Sujin contributed to the Algumithm/study repository by delivering three new features focused on algorithmic problem-solving and codebase organization. Sujin implemented multi-language solutions in C++ and Python for BOJ 14889, standardizing file structures to streamline onboarding and future development. For the BOJ 퇴사2 problem, Sujin designed and implemented a dynamic programming approach to optimize scheduling and profit calculations. Additionally, Sujin refactored the repository by introducing weekly problem folders, updating naming conventions, and adding test scaffolding. These efforts improved maintainability, enabled faster feature iteration, and established a scalable structure for collaborative algorithmic and competitive programming work.

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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