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 three months, Sungho Jun contributed to the jandisimgi/algo-study repository by developing twelve algorithmic features focused on problem-solving and documentation. He implemented Java solutions for competitive programming challenges, including dynamic programming, permutation cycle detection, and Dijkstra’s shortest path algorithms, often leveraging data structures like HashSet and priority queues. His work included a task scheduling system and optimization algorithms for string manipulation and league sorting. Jun also consolidated documentation, improving onboarding and project transparency. The depth of his contributions is reflected in reusable code patterns, scalable repository structure, and enhanced progress tracking, all delivered with a strong emphasis on maintainability.
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
1008 people
Work 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
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