jandisimgi/algo-study
Jun 2025 – Sep 2025
4 Months active
Languages Used
GitattributesJavaXMLMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBellman-Ford AlgorithmBinary SearchBreadth First Search
MindySo
PROFILE
Mindyso
Over four months, Mindy contributed to the jandisimgi/algo-study repository by building a comprehensive suite of algorithmic problem solutions and enhancing repository maintainability. She implemented features spanning dynamic programming, graph traversal, grid simulations, and scheduling optimization, using Java and Git for robust code management. Mindy’s work included topological sort, Dijkstra’s algorithm, and DFS with memoization, delivering production-quality reference implementations for competitive programming and interview preparation. She maintained clear documentation and consistent commit practices, improving onboarding and knowledge sharing. Her approach emphasized correctness, code clarity, and maintainability, resulting in a scalable, well-documented resource for hands-on algorithmic learning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
41Total
Bugs
0
Commits
41
Features
14
Lines of code
5,447
Activity Months4
Your Network
7 people
Work History
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for jandisimgi/algo-study: Delivered algorithmic features and documentation updates to boost problem-solving capabilities and onboarding. Key deliverables: - Mineral excavation fatigue optimization (PRO_172927): grouped minerals into sets of five and assigned pickaxes to minimize total fatigue; implemented with commit PRO_172927_solved (e6ab2112b8ece215c1a70da40178efa6277da1b9). - BOJ problem solutions: 1520 (grid paths via DFS + memoization) and 1240 (shortest path in weighted graph); README updated for problem 1520; commits 250905_BOJ_1520_solved and 250901_BOJ_1240_solved (messages 53d1bcd288131387ee513f47960b67d6a9e91f2f and bbfed81b62bd8a89a1e47d2189f76904fecc1e80). - Algo_250901 README status update: mark 민지 task as completed ('❌' -> '✅'); commit readme update (1c2187f3825f5c58781ed3b2094037545dcfd6e0). Major bugs fixed: none reported this month; focus was on feature delivery and documentation enhancements. Overall impact and accomplishments: - Strengthened problem-solving foundations with new algorithm implementations and documented solutions, enabling faster onboarding for contributors and clearer knowledge sharing. - Improved planning optimization capabilities in a practical scenario (fatigue-aware mineral extraction planning). - Enhanced repository maintainability through consistent README updates and task status communication. Technologies/skills demonstrated: - Algorithms: fatigue optimization using grouping and sorting; DFS + memoization; graph shortest path. - Programming practices: clear commit messages, doc updates, and repository hygiene. - Knowledge sharing: README documentation improvements for problem-solving coverage.
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for jandisimgi/algo-study: Delivered algorithmic features and documentation updates to boost problem-solving capabilities and onboarding. Key deliverables: - Mineral excavation fatigue optimization (PRO_172927): grouped minerals into sets of five and assigned pickaxes to minimize total fatigue; implemented with commit PRO_172927_solved (e6ab2112b8ece215c1a70da40178efa6277da1b9). - BOJ problem solutions: 1520 (grid paths via DFS + memoization) and 1240 (shortest path in weighted graph); README updated for problem 1520; commits 250905_BOJ_1520_solved and 250901_BOJ_1240_solved (messages 53d1bcd288131387ee513f47960b67d6a9e91f2f and bbfed81b62bd8a89a1e47d2189f76904fecc1e80). - Algo_250901 README status update: mark 민지 task as completed ('❌' -> '✅'); commit readme update (1c2187f3825f5c58781ed3b2094037545dcfd6e0). Major bugs fixed: none reported this month; focus was on feature delivery and documentation enhancements. Overall impact and accomplishments: - Strengthened problem-solving foundations with new algorithm implementations and documented solutions, enabling faster onboarding for contributors and clearer knowledge sharing. - Improved planning optimization capabilities in a practical scenario (fatigue-aware mineral extraction planning). - Enhanced repository maintainability through consistent README updates and task status communication. Technologies/skills demonstrated: - Algorithms: fatigue optimization using grouping and sorting; DFS + memoization; graph shortest path. - Programming practices: clear commit messages, doc updates, and repository hygiene. - Knowledge sharing: README documentation improvements for problem-solving coverage.
September 2025
August 2025
10 Commits • 7 Features
Aug 1, 2025Month 2025-08: Delivered a set of algorithm-focused features in the jandisimgi/algo-study repository, improving problem-solving capability, correctness, and maintainability, with enhanced documentation for team alignment. Key work spanned multiple domains (topological sort/DP, brute-force search, graph pathfinding, dynamic programming, and scheduling/optimization), delivering robust reference implementations and performance-oriented approaches that can accelerate future problem-solving and onboarding. No explicit bug-fix tickets were recorded this month; however, each feature included correctness validation and clearer code structure to reduce regressions. Overall impact: expanded the repository's value as a hands-on learning and interview-prep resource, with concrete, production-like solutions that demonstrate solid algorithmic design, time-complexity awareness, and maintainable code quality.
August 2025
10 Commits • 7 Features
Aug 1, 2025Month 2025-08: Delivered a set of algorithm-focused features in the jandisimgi/algo-study repository, improving problem-solving capability, correctness, and maintainability, with enhanced documentation for team alignment. Key work spanned multiple domains (topological sort/DP, brute-force search, graph pathfinding, dynamic programming, and scheduling/optimization), delivering robust reference implementations and performance-oriented approaches that can accelerate future problem-solving and onboarding. No explicit bug-fix tickets were recorded this month; however, each feature included correctness validation and clearer code structure to reduce regressions. Overall impact: expanded the repository's value as a hands-on learning and interview-prep resource, with concrete, production-like solutions that demonstrate solid algorithmic design, time-complexity awareness, and maintainable code quality.
July 2025
14 Commits • 2 Features
Jul 1, 2025July 2025 performance for jandisimgi/algo-study: Delivered a unified Competitive Programming Problem Solutions Suite that consolidates solutions across dynamic programming, graph traversal, grid simulations, segment trees, and pathfinding. Completed Documentation and Progress Tracking Updates to reflect progress and task completion for users, including 민지. Major bugs fixed: none reported this month. Overall impact: improved reuse of solutions, faster onboarding, and a scalable framework for contest preparation and learning. Technologies/skills demonstrated: advanced algorithms (DP, graphs, grids, segtrees, pathfinding), code organization, Git discipline, and clear documentation practices.
14 Commits • 2 Features
Jul 1, 2025July 2025 performance for jandisimgi/algo-study: Delivered a unified Competitive Programming Problem Solutions Suite that consolidates solutions across dynamic programming, graph traversal, grid simulations, segment trees, and pathfinding. Completed Documentation and Progress Tracking Updates to reflect progress and task completion for users, including 민지. Major bugs fixed: none reported this month. Overall impact: improved reuse of solutions, faster onboarding, and a scalable framework for contest preparation and learning. Technologies/skills demonstrated: advanced algorithms (DP, graphs, grids, segtrees, pathfinding), code organization, Git discipline, and clear documentation practices.
July 2025
June 2025
13 Commits • 2 Features
Jun 1, 2025Month: 2025-06 Key features delivered - Codebase Hygiene and Cleanup: Updated .gitignore to exclude generated and IDE-specific files; cleaned miscellaneous items to keep the repository focused on meaningful code. Commits: e320505d0b41d2d2c358cc3287d2b136df715dab; 9165026f3634491b6c8bbb271b87968d63fd88f2. - Algorithmic Problem Solving and Practice: Implemented graph algorithms, dynamic programming, BFS/DFS, DSU, and simulations to broaden problem-solving capabilities. Notable problem solutions include BOJ 4195, 1525, 28707, 21276, 13459, 12100. Commits: f71ebfb98fdfc80430f17f7e3b2b70edd6538bd9; 25d55fa246b9224c27bec7ae39af52a11139d932; dd3851177f178ce6e27634b89ee9a43a6e212dd9; 2e260cdaabf616d0ad1df0e730b003fc8e3d30f7; 1447ece9fe44a9accfb6d826ad82401372a1b6b2; 15c03723c2cd5e91949082fd82e1e273ee657ef5; 3b6820801854221bd3cebc3524b476b125c425c3; 8eaebbb65a5ab49254daae2288fafe823e0f0dcf; 5bc843ec8dbbc7c5552f6f2acb83dc5d8a3b2c21; 29615f82cf99d9679a4ad281414f812c05dad9bf; 60562d73beac3f306617d65590bfffd86233c384. Major bugs fixed - No major user-facing bugs reported in June; maintenance improvements include refining ignore rules and removing stray generated files to improve build reliability. Overall impact and accomplishments - Strengthened repository maintainability and onboarding for future contributors; expanded algorithmic toolkit and problem-solving capability; maintained a steady, well-documented development cadence throughout June. Technologies/skills demonstrated - Git-based hygiene, code quality and maintainability practices; algorithm design and implementation (graphs, DP, BFS/DFS, DSU, simulations); problem solving across multiple BOJ tasks.
June 2025
13 Commits • 2 Features
Jun 1, 2025Month: 2025-06 Key features delivered - Codebase Hygiene and Cleanup: Updated .gitignore to exclude generated and IDE-specific files; cleaned miscellaneous items to keep the repository focused on meaningful code. Commits: e320505d0b41d2d2c358cc3287d2b136df715dab; 9165026f3634491b6c8bbb271b87968d63fd88f2. - Algorithmic Problem Solving and Practice: Implemented graph algorithms, dynamic programming, BFS/DFS, DSU, and simulations to broaden problem-solving capabilities. Notable problem solutions include BOJ 4195, 1525, 28707, 21276, 13459, 12100. Commits: f71ebfb98fdfc80430f17f7e3b2b70edd6538bd9; 25d55fa246b9224c27bec7ae39af52a11139d932; dd3851177f178ce6e27634b89ee9a43a6e212dd9; 2e260cdaabf616d0ad1df0e730b003fc8e3d30f7; 1447ece9fe44a9accfb6d826ad82401372a1b6b2; 15c03723c2cd5e91949082fd82e1e273ee657ef5; 3b6820801854221bd3cebc3524b476b125c425c3; 8eaebbb65a5ab49254daae2288fafe823e0f0dcf; 5bc843ec8dbbc7c5552f6f2acb83dc5d8a3b2c21; 29615f82cf99d9679a4ad281414f812c05dad9bf; 60562d73beac3f306617d65590bfffd86233c384. Major bugs fixed - No major user-facing bugs reported in June; maintenance improvements include refining ignore rules and removing stray generated files to improve build reliability. Overall impact and accomplishments - Strengthened repository maintainability and onboarding for future contributors; expanded algorithmic toolkit and problem-solving capability; maintained a steady, well-documented development cadence throughout June. Technologies/skills demonstrated - Git-based hygiene, code quality and maintainability practices; algorithm design and implementation (graphs, DP, BFS/DFS, DSU, simulations); problem solving across multiple BOJ tasks.
Activity
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Quality Metrics
Correctness96.0%
Maintainability86.4%
Architecture86.4%
Performance90.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
GitattributesJavaMarkdownXML
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsBacktrackingBellman-Ford AlgorithmBinary SearchBreadth First SearchBreadth-First SearchBreadth-First Search (BFS)Brute ForceCode FormattingConfiguration ManagementData StructuresDepth First Search
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