jandisimgi/algo-study
Jun 2025 – Sep 2025
4 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBreadth-First Search (BFS)
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PROFILE
Kninemikug
Over four months, Jandisimgi developed a suite of algorithmic solutions and utilities in the jandisimgi/algo-study repository, focusing on Java and leveraging data structures, dynamic programming, and graph algorithms. They built reusable libraries for dynamic programming problems, implemented graph search and backtracking solutions, and created efficient sorting and ranking programs for competitive programming tasks. Their approach emphasized maintainability through standardized scaffolding, clear documentation, and consistent naming conventions. By delivering well-structured Java modules and updating project documentation, Jandisimgi enabled faster onboarding and code reuse, producing a robust foundation for BOJ and PGMR problem-solving without introducing production defects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
50Total
Bugs
0
Commits
50
Features
20
Lines of code
1,542
Activity Months4
Your Network
7 people
Work History
September 2025
4 Commits • 3 Features
Sep 1, 2025Month: 2025-09 — Concise performance-focused summary for the Algo Study repo (jandisimgi/algo-study).
4 Commits • 3 Features
Sep 1, 2025Month: 2025-09 — Concise performance-focused summary for the Algo Study repo (jandisimgi/algo-study).
September 2025
August 2025
6 Commits • 4 Features
Aug 1, 2025Summary for 2025-08: Delivered a set of Java-based algorithm solutions and updated project documentation, enhancing code reuse, maintainability, and readiness for review. Focused on feature delivery and progress visibility; no major defects captured this month; business value stems from reusable, well-documented solutions suitable for interview prep and broader algorithm practice.
August 2025
6 Commits • 4 Features
Aug 1, 2025Summary for 2025-08: Delivered a set of Java-based algorithm solutions and updated project documentation, enhancing code reuse, maintainability, and readiness for review. Focused on feature delivery and progress visibility; no major defects captured this month; business value stems from reusable, well-documented solutions suitable for interview prep and broader algorithm practice.
July 2025
23 Commits • 10 Features
Jul 1, 2025July 2025 — jandisimgi/algo-study: Delivered a broad portfolio of algorithm implementations and problem-solving assets across BOJ and PGMR challenges, emphasizing correctness, readability, and maintainability. Strengthened code quality and maintainability through documentation updates, a naming convention refactor, and bulk addition of BOJ solutions. No major production bug regressions observed; focus on safe refactors and documentation to reduce future maintenance cost for the team.
23 Commits • 10 Features
Jul 1, 2025July 2025 — jandisimgi/algo-study: Delivered a broad portfolio of algorithm implementations and problem-solving assets across BOJ and PGMR challenges, emphasizing correctness, readability, and maintainability. Strengthened code quality and maintainability through documentation updates, a naming convention refactor, and bulk addition of BOJ solutions. No major production bug regressions observed; focus on safe refactors and documentation to reduce future maintenance cost for the team.
July 2025
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025 performance summary for jandisimgi/algo-study: Delivered a cohesive Dynamic Programming core library, graph search/backtracking solutions, and foundational data structures/utilities, enabling faster problem solving, code reuse, and higher quality templates for BOJ-style tasks.
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025 performance summary for jandisimgi/algo-study: Delivered a cohesive Dynamic Programming core library, graph search/backtracking solutions, and foundational data structures/utilities, enabling faster problem solving, code reuse, and higher quality templates for BOJ-style tasks.
Activity
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Quality Metrics
Correctness96.6%
Maintainability88.4%
Architecture86.4%
Performance91.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsArray ManipulationBacktrackingBinary SearchBreadth-First Search (BFS)Brute ForceCombinatoricsCompetitive ProgrammingData StructuresDepth First SearchDocumentationDynamic ProgrammingFile Management
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