JeongEon8/AlgorithmStudyinGumi
Oct 2024 – Nov 2025
11 Months active
Languages Used
JavaMarkdownC++JavaScriptPython
Technical Skills
AlgorithmDFSMSTAlgorithmsBacktrackingBit Manipulation
hyuksanglee
PROFILE
Hyuksanglee
JeongEon Lee developed and maintained the JeongEon8/AlgorithmStudyinGumi repository over 11 months, delivering 66 algorithmic features focused on problem-solving and knowledge sharing. Lee implemented solutions for a wide range of Baekjoon problems, applying techniques such as dynamic programming, BFS, and greedy algorithms, and consistently documented approaches, time complexity, and logic in detailed READMEs. Using Java and Python, Lee emphasized maintainable code, efficient data structures, and clear onboarding materials. The work demonstrated depth in algorithm design and optimization, with regular repository organization and refactoring to support scalable learning, reliable onboarding, and reusable solution patterns for future contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
121Total
Bugs
0
Commits
121
Features
66
Lines of code
15,848
Activity Months11
Your Network
1013 people
Work History
November 2025
6 Commits • 5 Features
Nov 1, 2025Monthly summary for 2025-11 focused on delivering performance- and reliability-focused algorithmic features across JeongEon8/AlgorithmStudyinGumi. Key work includes DP-based optimization, simulation- and search-based placement algorithms, BFS explorations, and grid collision risk simulations, complemented by documentation updates. These deliveries improve runtime efficiency, scalability to larger problem instances, and maintainability, aligning with business goals of faster experimentation cycles and clearer knowledge sharing.
6 Commits • 5 Features
Nov 1, 2025Monthly summary for 2025-11 focused on delivering performance- and reliability-focused algorithmic features across JeongEon8/AlgorithmStudyinGumi. Key work includes DP-based optimization, simulation- and search-based placement algorithms, BFS explorations, and grid collision risk simulations, complemented by documentation updates. These deliveries improve runtime efficiency, scalability to larger problem instances, and maintainability, aligning with business goals of faster experimentation cycles and clearer knowledge sharing.
November 2025
October 2025
6 Commits • 2 Features
Oct 1, 2025Oct 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi focusing on key features delivered, major updates, and overall impact. Key features delivered: - Baekjoon 2473 - Three Solutions: implemented with a sorted array and two-pointer approach; includes robust edge-case handling and efficient solution. - Documentation updates: expanded README with problem details, algorithm explanation, and logic; updated problem title and difficulty to reflect the current solution. - Baekjoon 1043 - Lies: graph/BFS-based solution to maximize attendees without revealing the truth; refactored docs to describe graph approach and updated complexity in README. - Documentation consolidation: improved onboarding and maintenance through consistent problem descriptions and solution rationales across problems. - Commit discipline: 6 commits total across two features (4 for 2473, 2 for Lies), with descriptive messages for traceability. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Strengthened the algorithm practice library with high-value, reusable solutions and clear explanations. - Improved maintainability and onboarding via proactive documentation updates and consistent problem statements. - Demonstrated practical application of sorting, two-pointer techniques, BFS, and graph modeling to real-world interview problems. Technologies/skills demonstrated: - Algorithms: sorting, two-pointer technique, graph theory, BFS. - Data structures: arrays, graphs. - Documentation: README and problem statement updates, clear explanations and complexity notes. - Version control: meaningful commit messages and documentation-driven changes. Business value: - Accelerates onboarding for contributors and candidates, enabling faster understanding and reuse of solution patterns. - Reduces future maintenance costs through consolidated problem descriptions and approach rationales.
October 2025
6 Commits • 2 Features
Oct 1, 2025Oct 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi focusing on key features delivered, major updates, and overall impact. Key features delivered: - Baekjoon 2473 - Three Solutions: implemented with a sorted array and two-pointer approach; includes robust edge-case handling and efficient solution. - Documentation updates: expanded README with problem details, algorithm explanation, and logic; updated problem title and difficulty to reflect the current solution. - Baekjoon 1043 - Lies: graph/BFS-based solution to maximize attendees without revealing the truth; refactored docs to describe graph approach and updated complexity in README. - Documentation consolidation: improved onboarding and maintenance through consistent problem descriptions and solution rationales across problems. - Commit discipline: 6 commits total across two features (4 for 2473, 2 for Lies), with descriptive messages for traceability. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Strengthened the algorithm practice library with high-value, reusable solutions and clear explanations. - Improved maintainability and onboarding via proactive documentation updates and consistent problem statements. - Demonstrated practical application of sorting, two-pointer techniques, BFS, and graph modeling to real-world interview problems. Technologies/skills demonstrated: - Algorithms: sorting, two-pointer technique, graph theory, BFS. - Data structures: arrays, graphs. - Documentation: README and problem statement updates, clear explanations and complexity notes. - Version control: meaningful commit messages and documentation-driven changes. Business value: - Accelerates onboarding for contributors and candidates, enabling faster understanding and reuse of solution patterns. - Reduces future maintenance costs through consolidated problem descriptions and approach rationales.
September 2025
38 Commits • 19 Features
Sep 1, 2025September 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi focused on delivering end-to-end algorithmic solutions, expanding test coverage, and improving transparency of progress across the repository. The month saw substantial delivery of Baekjoon problem solutions (G4–G5) across a broad set of topics, with emphasis on reliability, validation, and scalable problem-solving templates. Key contributions spanned multiple problems, from foundational number theory and data-structure challenges to more complex greedy and dynamic programming tasks, accompanied by regular progress updates to stakeholders.
38 Commits • 19 Features
Sep 1, 2025September 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi focused on delivering end-to-end algorithmic solutions, expanding test coverage, and improving transparency of progress across the repository. The month saw substantial delivery of Baekjoon problem solutions (G4–G5) across a broad set of topics, with emphasis on reliability, validation, and scalable problem-solving templates. Key contributions spanned multiple problems, from foundational number theory and data-structure challenges to more complex greedy and dynamic programming tasks, accompanied by regular progress updates to stakeholders.
September 2025
August 2025
17 Commits • 10 Features
Aug 1, 2025August 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi. Focused on delivering reusable problem-solving capabilities, expanding algorithm coverage, and improving documentations to accelerate onboarding and business value. Key outcomes include end-to-end feature delivery across graph, DP, BFS-based problems, and performance-oriented refactors. Overall, the month delivered 5+ major features with substantial algorithmic improvements, paired with clear READMEs and problem-specific documentation to enable faster knowledge transfer.
August 2025
17 Commits • 10 Features
Aug 1, 2025August 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi. Focused on delivering reusable problem-solving capabilities, expanding algorithm coverage, and improving documentations to accelerate onboarding and business value. Key outcomes include end-to-end feature delivery across graph, DP, BFS-based problems, and performance-oriented refactors. Overall, the month delivered 5+ major features with substantial algorithmic improvements, paired with clear READMEs and problem-specific documentation to enable faster knowledge transfer.
July 2025
22 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi. Key deliveries included milestone completion and code maintenance, plus a broad set of Baekjoon problem implementations across G3 and G4, demonstrating strong algorithmic skills and solid code organization. Specifics: - Feature deliveries: Completed the 2025-06 5th week milestone; performed June 2025 file cleanup to improve organization and maintainability. - Major problem-solving implementations: Finalized solutions for Baekjoon problems across G3 and G4, including 01_벽 부수고 이동하기 2, 02_좋다, 03_특정한 최단 경로, 01_탈출, 02_서강그라운드, 03_파일 합치기, 01_단어 수학, 02_게임 개발, 01_후위 표기식, among others, across multiple commits. - Code quality and collaboration: disciplined commit history with descriptive messages enabling easier future maintenance and reviews. - Technologies/skills demonstrated: algorithm design and implementation for graph/pathfinding and combinatorial problems; problem-solving efficiency; version control discipline; maintainability through cleanup and organized milestones. Overall impact: strengthened business value through faster sprint readiness, a scalable repository of algorithmic solutions, and a clearer, maintainable codebase for upcoming July and beyond.
22 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi. Key deliveries included milestone completion and code maintenance, plus a broad set of Baekjoon problem implementations across G3 and G4, demonstrating strong algorithmic skills and solid code organization. Specifics: - Feature deliveries: Completed the 2025-06 5th week milestone; performed June 2025 file cleanup to improve organization and maintainability. - Major problem-solving implementations: Finalized solutions for Baekjoon problems across G3 and G4, including 01_벽 부수고 이동하기 2, 02_좋다, 03_특정한 최단 경로, 01_탈출, 02_서강그라운드, 03_파일 합치기, 01_단어 수학, 02_게임 개발, 01_후위 표기식, among others, across multiple commits. - Code quality and collaboration: disciplined commit history with descriptive messages enabling easier future maintenance and reviews. - Technologies/skills demonstrated: algorithm design and implementation for graph/pathfinding and combinatorial problems; problem-solving efficiency; version control discipline; maintainability through cleanup and organized milestones. Overall impact: strengthened business value through faster sprint readiness, a scalable repository of algorithmic solutions, and a clearer, maintainable codebase for upcoming July and beyond.
July 2025
June 2025
15 Commits • 7 Features
Jun 1, 2025June 2025 performance-focused month for JeongEon8/AlgorithmStudyinGumi. Delivered multiple high-value algorithm implementations with measurable business value: optimized file merging costs, accurate BFS-based simulations, and faster build-time strategies, complemented by robust data-structure solutions. Documentation improvements (READMEs) were made to reflect design decisions, enabling easier onboarding and knowledge transfer across the team. No major bugs reported; minor stability enhancements and code cleanups across several problems led to more maintainable and testable solutions.
June 2025
15 Commits • 7 Features
Jun 1, 2025June 2025 performance-focused month for JeongEon8/AlgorithmStudyinGumi. Delivered multiple high-value algorithm implementations with measurable business value: optimized file merging costs, accurate BFS-based simulations, and faster build-time strategies, complemented by robust data-structure solutions. Documentation improvements (READMEs) were made to reflect design decisions, enabling easier onboarding and knowledge transfer across the team. No major bugs reported; minor stability enhancements and code cleanups across several problems led to more maintainable and testable solutions.
April 2025
4 Commits • 4 Features
Apr 1, 2025April 2025 — JeongEon8/AlgorithmStudyinGumi: Delivered four algorithm-focused features with robust documentation, expanding the repository's problem-solving toolkit and improving on readability, reuse, and onboarding. No major bugs fixed this month.
4 Commits • 4 Features
Apr 1, 2025April 2025 — JeongEon8/AlgorithmStudyinGumi: Delivered four algorithm-focused features with robust documentation, expanding the repository's problem-solving toolkit and improving on readability, reuse, and onboarding. No major bugs fixed this month.
April 2025
March 2025
3 Commits • 3 Features
Mar 1, 2025March 2025 — JeongEon8/AlgorithmStudyinGumi: Delivered three Java algorithm solutions with clear documentation and maintainable design, enhancing the repository as a reusable learning toolkit. No major bugs fixed this month; focus on robust implementations and knowledge transfer. Business value realized through ready-to-review code, improved onboarding, and a demonstrated ability to implement efficient sorting, greedy, and data-structure patterns in Java.
March 2025
3 Commits • 3 Features
Mar 1, 2025March 2025 — JeongEon8/AlgorithmStudyinGumi: Delivered three Java algorithm solutions with clear documentation and maintainable design, enhancing the repository as a reusable learning toolkit. No major bugs fixed this month; focus on robust implementations and knowledge transfer. Business value realized through ready-to-review code, improved onboarding, and a demonstrated ability to implement efficient sorting, greedy, and data-structure patterns in Java.
February 2025
2 Commits • 1 Features
Feb 1, 2025Month: 2025-02 — Delivered a feature for the Baekjoon S4 problem set in JeongEon8/AlgorithmStudyinGumi, focusing on the symmetric difference problem. Implemented the solution and added comprehensive documentation, and reorganized the repository structure for clarity. No major bugs reported this period. This work enhances problem-solving coverage, improves maintainability, and provides a clear reference for future Baekjoon challenges.
2 Commits • 1 Features
Feb 1, 2025Month: 2025-02 — Delivered a feature for the Baekjoon S4 problem set in JeongEon8/AlgorithmStudyinGumi, focusing on the symmetric difference problem. Implemented the solution and added comprehensive documentation, and reorganized the repository structure for clarity. No major bugs reported this period. This work enhances problem-solving coverage, improves maintainability, and provides a clear reference for future Baekjoon challenges.
February 2025
November 2024
7 Commits • 2 Features
Nov 1, 2024Monthly Summary for 2024-11 - JeongEon8/AlgorithmStudyinGumi: Key features delivered: - Topological sort implementation for the Baekjoon 'line-up' problem: built using adjacency lists and in-degree tracking to determine processing order. Initial version used a priority queue for zero in-degree nodes and was subsequently refactored to ArrayDeque to improve performance and memory footprint. - Baekjoon study materials: added a comprehensive README describing the Dijkstra approach for Gold 3 (problem 1238); reorganized study materials directories; removed outdated content; expanded problem solutions across DFS, DP, BFS, and greedy algorithms; updated documentation and organization. Major bugs fixed / maintenance: - No high-severity bugs reported; several maintenance-focused improvements completed: refactor to ArrayDeque to simplify and optimize topological sort flow, and extensive cleanup/organization of study materials to reduce confusion and prevent stale references. Overall impact and accomplishments: - Strengthened core algorithm implementation with correct, efficient topological sorting for a Baekjoon problem, enabling reliable ordering logic. - Significantly improved learning resources and repository hygiene, facilitating faster onboarding and collaboration for future study cycles. - Documented and codified problem-solving patterns (DFS, DP, BFS, greedy, Dijkstra) to support scalable learning and knowledge sharing. Technologies/skills demonstrated: - Graph algorithms (topological sort, in-degree tracking, adjacency lists), data structure optimization (priority queue to ArrayDeque), and algorithmic problem-solving. - Dijkstra algorithm concepts for problem documentation. - Proficient use of Git for documentation and material cleanup (branching, commits across multiple tasks). Business value: - Faster contributor onboarding and more reliable study material, reducing maintenance costs and enabling quicker iterations on algorithm-focused learning.
November 2024
7 Commits • 2 Features
Nov 1, 2024Monthly Summary for 2024-11 - JeongEon8/AlgorithmStudyinGumi: Key features delivered: - Topological sort implementation for the Baekjoon 'line-up' problem: built using adjacency lists and in-degree tracking to determine processing order. Initial version used a priority queue for zero in-degree nodes and was subsequently refactored to ArrayDeque to improve performance and memory footprint. - Baekjoon study materials: added a comprehensive README describing the Dijkstra approach for Gold 3 (problem 1238); reorganized study materials directories; removed outdated content; expanded problem solutions across DFS, DP, BFS, and greedy algorithms; updated documentation and organization. Major bugs fixed / maintenance: - No high-severity bugs reported; several maintenance-focused improvements completed: refactor to ArrayDeque to simplify and optimize topological sort flow, and extensive cleanup/organization of study materials to reduce confusion and prevent stale references. Overall impact and accomplishments: - Strengthened core algorithm implementation with correct, efficient topological sorting for a Baekjoon problem, enabling reliable ordering logic. - Significantly improved learning resources and repository hygiene, facilitating faster onboarding and collaboration for future study cycles. - Documented and codified problem-solving patterns (DFS, DP, BFS, greedy, Dijkstra) to support scalable learning and knowledge sharing. Technologies/skills demonstrated: - Graph algorithms (topological sort, in-degree tracking, adjacency lists), data structure optimization (priority queue to ArrayDeque), and algorithmic problem-solving. - Dijkstra algorithm concepts for problem documentation. - Proficient use of Git for documentation and material cleanup (branching, commits across multiple tasks). Business value: - Faster contributor onboarding and more reliable study material, reducing maintenance costs and enabling quicker iterations on algorithm-focused learning.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 - JeongEon8/AlgorithmStudyinGumi: Focused on elevating documentation and knowledge transfer. Delivered a comprehensive README for Baekjoon Problem 1922 - Network Connection, detailing DFS and MST approaches, time complexity, step-by-step logic, and a Java code snippet, with review notes and a direct problem link. No major bugs fixed this month in this repository. Overall impact: improved accessibility, onboarding, and consistency in algorithm study references. Technologies/skills demonstrated: Java, graph algorithms (DFS, MST), problem-solving, documentation best practices, and maintainability.
1 Commits • 1 Features
Oct 1, 2024October 2024 - JeongEon8/AlgorithmStudyinGumi: Focused on elevating documentation and knowledge transfer. Delivered a comprehensive README for Baekjoon Problem 1922 - Network Connection, detailing DFS and MST approaches, time complexity, step-by-step logic, and a Java code snippet, with review notes and a direct problem link. No major bugs fixed this month in this repository. Overall impact: improved accessibility, onboarding, and consistency in algorithm study references. Technologies/skills demonstrated: Java, graph algorithms (DFS, MST), problem-solving, documentation best practices, and maintainability.
October 2024
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Quality Metrics
Correctness88.6%
Maintainability83.4%
Architecture82.2%
Performance85.2%
AI Usage20.8%
Skills & Technologies
Programming Languages
C++JavaJavaScriptMarkdownPython
Technical Skills
0-1 BFSAlgorithmAlgorithm AnalysisAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationAlgorithm Problem SolvingAlgorithm StudyAlgorithmsBFSBacktrackingBinary SearchBit ManipulationBreadth-First SearchBreadth-First Search (BFS)
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