jandisimgi/algo-study
Jul 2025 – Sep 2025
3 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmBreadth-First SearchCompetitive ProgrammingData StructuresDocumentationDynamic Programming
hojunsung
PROFILE
Hojunsung
Over a three-month period, contributed to the jandisimgi/algo-study repository by developing twelve algorithmic features focused on problem-solving and documentation. Built Java solutions for competitive programming challenges, including permutation cycle detection, dynamic programming sets, and Dijkstra’s shortest path algorithms, leveraging data structures such as HashSet and priority queues. Enhanced project maintainability through structured documentation updates and improved onboarding materials, ensuring clear progress tracking and repository hygiene. Implemented a Java-based task scheduler and optimized algorithms for string manipulation and league sorting. Emphasized scalable, reusable code and transparent collaboration, with all work delivered in Java and Markdown, and no reported bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
34Total
Bugs
0
Commits
34
Features
12
Lines of code
1,446
Activity Months3
Your Network
1138 peopleWork History
September 2025
10 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for jandisimgi/algo-study: Delivered core algorithmic features and documentation updates that enhance routing capabilities and project transparency. Key features include Java Dijkstra Shortest Path Solutions with multiple graph representations and constraints (minimum-cost path, start-to-end routing, shortcuts, and binary search on edge weights). Documentation improvements updated README to reflect task completions for user 호준 and overall progress-tracking changes. Major impact: provides flexible, efficient path computations for complex graphs, clearer progress tracking, and stronger contributor onboarding. Demonstrated technologies: Java, graph algorithms (Dijkstra's algorithm), data structures for graphs, performance considerations, and documentation practices. Business value: accelerates feature delivery, enables scenario testing, and improves stakeholder visibility.
10 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for jandisimgi/algo-study: Delivered core algorithmic features and documentation updates that enhance routing capabilities and project transparency. Key features include Java Dijkstra Shortest Path Solutions with multiple graph representations and constraints (minimum-cost path, start-to-end routing, shortcuts, and binary search on edge weights). Documentation improvements updated README to reflect task completions for user 호준 and overall progress-tracking changes. Major impact: provides flexible, efficient path computations for complex graphs, clearer progress tracking, and stronger contributor onboarding. Demonstrated technologies: Java, graph algorithms (Dijkstra's algorithm), data structures for graphs, performance considerations, and documentation practices. Business value: accelerates feature delivery, enables scenario testing, and improves stakeholder visibility.
September 2025
August 2025
11 Commits • 5 Features
Aug 1, 2025August 2025 monthly summary for jandisimgi/algo-study focuses on delivering robust algorithmic features, scalable task management, and improved project visibility. Key work this month covered sorting/trading enhancements, multiple dynamic programming solutions, a Java-based task scheduler, optimization for circular string swaps, and comprehensive documentation updates to reflect progress and ownership.
August 2025
11 Commits • 5 Features
Aug 1, 2025August 2025 monthly summary for jandisimgi/algo-study focuses on delivering robust algorithmic features, scalable task management, and improved project visibility. Key work this month covered sorting/trading enhancements, multiple dynamic programming solutions, a Java-based task scheduler, optimization for circular string swaps, and comprehensive documentation updates to reflect progress and ownership.
July 2025
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for jandisimgi/algo-study: Key features delivered, no major bugs fixed (maintenance focus). Highlights include 14 HoJun Java solutions across three Algo_ folders, a permutation cycle state solver, and consolidated documentation progress. Impact: expanded reusable algorithm solution library, improved onboarding, and stronger repo hygiene. Technologies: Java, algorithmic problem solving, data structures (HashSet), permutation theory, Git-based collaboration, and README documentation.
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for jandisimgi/algo-study: Key features delivered, no major bugs fixed (maintenance focus). Highlights include 14 HoJun Java solutions across three Algo_ folders, a permutation cycle state solver, and consolidated documentation progress. Impact: expanded reusable algorithm solution library, improved onboarding, and stronger repo hygiene. Technologies: Java, algorithmic problem solving, data structures (HashSet), permutation theory, Git-based collaboration, and README documentation.
July 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability89.4%
Architecture88.2%
Performance92.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AlgorithmAlgorithm DesignBinary SearchBreadth-First SearchCompetitive ProgrammingData StructuresDijkstra's AlgorithmDocumentationDynamic ProgrammingGraph AlgorithmsJavaNumber TheoryPermutationPriority QueueProblem Solving
Repositories Contributed To
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