Algumithm/study
Feb 2025 – Jul 2025
6 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationBacktrackingCompetitive ProgrammingData StructuresDepth First Search
Park Seung Gyun
PROFILE
Park Seung Gyun
Over six months, Seunggyun contributed to the Algumithm/study repository by developing a robust suite of algorithmic solutions and core gameplay logic modules. He implemented features such as card matching game logic, graph traversal algorithms, and dynamic programming optimizations, focusing on reusable patterns for competitive programming and simulation challenges. Using Java and leveraging data structures like Trie and Union-Find, Seunggyun addressed problems spanning scheduling, pathfinding, and combinatorics. His work emphasized code maintainability through consistent refactoring and clear commenting, resulting in a well-organized, testable codebase. This approach enabled rapid onboarding, efficient problem-solving, and provided a strong foundation for future enhancements.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
101Total
Bugs
2
Commits
101
Features
68
Lines of code
5,069
Activity Months6
Your Network
5 peopleShared Repositories
5
Work History
July 2025
5 Commits • 2 Features
Jul 1, 20252025-07 Monthly Summary: Focused on delivering core gameplay logic and expanding the algorithm practice library in Algumithm/study. The work provides a solid foundation for upcoming product features (puzzle game module) and introduces reusable algorithm implementations to accelerate problem solving, testing, and future refactoring.
5 Commits • 2 Features
Jul 1, 20252025-07 Monthly Summary: Focused on delivering core gameplay logic and expanding the algorithm practice library in Algumithm/study. The work provides a solid foundation for upcoming product features (puzzle game module) and introduces reusable algorithm implementations to accelerate problem solving, testing, and future refactoring.
July 2025
June 2025
13 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for Algumithm/study. Key outcomes: Delivered a comprehensive BOJ Problem Solving Suite in Java spanning search, graph, DP, scheduling, and combinatorics with practical examples (Lotto, stock trading, conveyor-belt robots, Plum Tree DP, shortest paths, network connectivity counting, two-ball maze, hotel room assignment with Union-Find, genre-based top songs, disk controller scheduling, and expression restoration/refactor work). Refactor and stabilization work around expression restoration to improve maintainability and future extensibility. Commit activity: 13 commits across JUNE_1 to JUNE_3 ensuring traceability and reviewability. Overall impact: accelerates onboarding and training by providing a reusable, testable problem-solving suite; expands algorithm coverage, enabling faster prototyping and evaluation for business needs. Technologies/skills demonstrated: Java, object-oriented design, core algorithms and data structures (Union-Find, graphs, DP, scheduling), refactoring, version control discipline.
June 2025
13 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for Algumithm/study. Key outcomes: Delivered a comprehensive BOJ Problem Solving Suite in Java spanning search, graph, DP, scheduling, and combinatorics with practical examples (Lotto, stock trading, conveyor-belt robots, Plum Tree DP, shortest paths, network connectivity counting, two-ball maze, hotel room assignment with Union-Find, genre-based top songs, disk controller scheduling, and expression restoration/refactor work). Refactor and stabilization work around expression restoration to improve maintainability and future extensibility. Commit activity: 13 commits across JUNE_1 to JUNE_3 ensuring traceability and reviewability. Overall impact: accelerates onboarding and training by providing a reusable, testable problem-solving suite; expands algorithm coverage, enabling faster prototyping and evaluation for business needs. Technologies/skills demonstrated: Java, object-oriented design, core algorithms and data structures (Union-Find, graphs, DP, scheduling), refactoring, version control discipline.
May 2025
11 Commits • 11 Features
May 1, 2025May 2025 (Algumithm/study): Delivered 11 algorithmic feature implementations across BOJ-style problems, employing DFS, BFS, and DP patterns to solve pathfinding, optimization, and simulation challenges. Key features spanned grid-based path sums, piece-length optimization, shortest-path BFS, batting-order simulation, DP-based seating and stair-climbing optimizations, kinship calculations, and cheese-melting simulations, among others. Code quality improvements included a focused cleanup of Java comments for readability. All changes are backed by a coherent commit set from May 2–3, enabling easy onboarding and reuse of core templates. No production bug fixes were recorded this month in this repository; emphasis was on delivering robust, reusable solutions and improving maintainability.
11 Commits • 11 Features
May 1, 2025May 2025 (Algumithm/study): Delivered 11 algorithmic feature implementations across BOJ-style problems, employing DFS, BFS, and DP patterns to solve pathfinding, optimization, and simulation challenges. Key features spanned grid-based path sums, piece-length optimization, shortest-path BFS, batting-order simulation, DP-based seating and stair-climbing optimizations, kinship calculations, and cheese-melting simulations, among others. Code quality improvements included a focused cleanup of Java comments for readability. All changes are backed by a coherent commit set from May 2–3, enabling easy onboarding and reuse of core templates. No production bug fixes were recorded this month in this repository; emphasis was on delivering robust, reusable solutions and improving maintainability.
May 2025
April 2025
17 Commits • 14 Features
Apr 1, 2025April 2025 performance summary for Algumithm/study focused on delivering practical algorithmic features across multiple domains, demonstrating strong problem-solving patterns and code quality. The month emphasized expanding the toolkit, improving efficiency, and delivering business-relevant solutions that can be readily adapted to related domains.
April 2025
17 Commits • 14 Features
Apr 1, 2025April 2025 performance summary for Algumithm/study focused on delivering practical algorithmic features across multiple domains, demonstrating strong problem-solving patterns and code quality. The month emphasized expanding the toolkit, improving efficiency, and delivering business-relevant solutions that can be readily adapted to related domains.
March 2025
48 Commits • 36 Features
Mar 1, 2025Month 2025-03 — Algumithm/study: Delivered breadth of algorithmic solutions and hygiene fixes, expanding problem coverage and maintainability. Key features delivered include Baekjoon 토마토 (including 3D variant; BOJ_7569.java) and several other Baekjoon/SWEA problems; SWEA 단순 2진 암호코드 and SWEA 나무 높이; Baekjoon 쉬운 최단거리; SWEA 창용 마을 무리의 개수 (refactor). Major bugs fixed include cleanup deletion of obsolete BOJ_2559.java and a folder rename fix due to GitHub ID changes. Impact: increased code coverage for common algorithms, faster onboarding for new engineers, and reduced technical debt. Technologies/skills demonstrated: Java, BFS/DFS, 3D problem solving, problem-solving patterns, code refactoring, and repository hygiene.
48 Commits • 36 Features
Mar 1, 2025Month 2025-03 — Algumithm/study: Delivered breadth of algorithmic solutions and hygiene fixes, expanding problem coverage and maintainability. Key features delivered include Baekjoon 토마토 (including 3D variant; BOJ_7569.java) and several other Baekjoon/SWEA problems; SWEA 단순 2진 암호코드 and SWEA 나무 높이; Baekjoon 쉬운 최단거리; SWEA 창용 마을 무리의 개수 (refactor). Major bugs fixed include cleanup deletion of obsolete BOJ_2559.java and a folder rename fix due to GitHub ID changes. Impact: increased code coverage for common algorithms, faster onboarding for new engineers, and reduced technical debt. Technologies/skills demonstrated: Java, BFS/DFS, 3D problem solving, problem-solving patterns, code refactoring, and repository hygiene.
March 2025
February 2025
7 Commits • 4 Features
Feb 1, 2025Monthly performance summary for 2025-02 focusing on algorithmic contributions in Algumithm/study. Highlights include feature work on multiple competitive programming solutions, codebase hygiene improvements, and impact on maintainability and delivery readiness.
February 2025
7 Commits • 4 Features
Feb 1, 2025Monthly performance summary for 2025-02 focusing on algorithmic contributions in Algumithm/study. Highlights include feature work on multiple competitive programming solutions, codebase hygiene improvements, and impact on maintainability and delivery readiness.
Activity
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Quality Metrics
Correctness91.6%
Maintainability84.2%
Architecture80.8%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationBFSBack-end DevelopmentBacktrackingBase ConversionBinary SearchBreadth-First SearchBreadth-First Search (BFS)Code CommentingCode RefactoringCombinatoricsCompetitive Programming
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