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sjihyun

PROFILE

Sjihyun

Over four months, Jihyun Song developed and maintained the jandisimgi/algo-study repository, focusing on scalable scaffolding and a comprehensive library of Java-based algorithm solutions. Jihyun established robust directory structures and documentation to streamline onboarding and track participant progress, while implementing reusable templates for graph algorithms, dynamic programming, and competitive programming problems. The work emphasized maintainability and clarity, with consistent code organization and detailed README updates. Leveraging Java, SQL, and Markdown, Jihyun delivered 27 new features without reported bugs, demonstrating depth in algorithm design, data structures, and project management. The repository now supports efficient problem-solving and collaborative study for contributors.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

90Total
Bugs
0
Commits
90
Features
27
Lines of code
3,779
Activity Months4

Work History

September 2025

12 Commits • 2 Features

Sep 1, 2025

In September 2025, delivered foundational scaffolding for algorithm study progress tracking in the jandisimgi/algo-study repository and expanded the BOJ problem-solutions library. This work enables visibility into participants' problem-solving progress and provides ready-to-use Java implementations for common Baekjoon problems. No major bugs were reported this month; emphasis was on robust scaffolding, documentation, and code quality improvements.

August 2025

30 Commits • 11 Features

Aug 1, 2025

2025-08 monthly summary: Focused on building a solid foundation and expanding algorithm practice coverage. Key features delivered include project scaffolding and directory structure; eight new BOJ problem solutions implemented in Java (레이스, ACM Craft, 가증, 연구소3, 1915, 색종이 만들기, LIS II, 최소 회의실 개수); and codebase cleanup with consistent naming and extensions. Documentation was significantly improved through README updates to aid onboarding and contribution. Major bugs fixed: none explicitly reported in this period; emphasis was on structural enhancements and content additions. Overall impact: faster onboarding for new contributors, greater maintainability, and broader coverage of algorithm problems, enabling earlier value delivery to users and teams. Technologies/skills demonstrated: Java, SQL, Git hygiene, project scaffolding, refactoring, and documentation.

July 2025

28 Commits • 9 Features

Jul 1, 2025

July 2025 (2025-07) monthly summary for jandisimgi/algo-study focusing on feature delivery, documentation, and groundwork to accelerate future problem solving and onboarding. Delivered a broad library of Java solutions, updated project documentation, and established a scalable repository structure, aligning with business goals of reusable algorithms, faster contribution, and clear project guidelines.

June 2025

20 Commits • 5 Features

Jun 1, 2025

June 2025 monthly summary for jandisimgi/algo-study focusing on establishing a scalable foundation for graph algorithms and BOJ problem solving, delivering core libraries, DP/optimization patterns, and a broad competitive programming toolkit. No critical bugs reported in this period; ongoing improvements were concentrated on architecture, documentation, and reusable algorithm templates.

Activity

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Quality Metrics

Correctness96.8%
Maintainability90.0%
Architecture89.4%
Performance93.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaMarkdownSQLXML

Technical Skills

AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsArray ManipulationBacktrackingBinary SearchBreadth First Search (BFS)Breadth-First SearchBreadth-First Search (BFS)Brute ForceCompetitive ProgrammingData StructuresDepth First SearchDepth First Search (DFS)

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

jandisimgi/algo-study

Jun 2025 Sep 2025
4 Months active

Languages Used

JavaMarkdownXMLSQL

Technical Skills

AlgorithmAlgorithm ImplementationArray ManipulationBinary SearchBreadth-First SearchBreadth-First Search (BFS)

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