AlgoriGym-study/AlgoriGym
Apr 2025 – Sep 2025
4 Months active
Languages Used
JavaMarkdown
Technical Skills
AlgorithmBacktrackingCombinatoricsAlgorithm DesignData StructuresJava
LeeYoungwoo
PROFILE
Leeyoungwoo
Lee contributed to the AlgoriGym-study/AlgoriGym repository by developing a suite of algorithmic solutions and educational modules over four months. He implemented Java-based features such as recursive combinatorial solvers, grid simulations, and Union-Find team grouping, focusing on problems like Seven Dwarfs, Tetromino, and Snake Game. His work emphasized clear problem documentation, reusable code patterns, and robust input/output handling, supporting both learners and maintainers. Lee applied data structures, backtracking, and greedy algorithms to deliver scalable, well-documented modules without major bugs. His contributions established a foundation for future algorithm practice, enabling rapid onboarding and collaborative development within the repository’s evolving codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
9
Lines of code
993
Activity Months4
Your Network
12 people
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for AlgoriGym-study/AlgoriGym: Focused on delivering a reusable Algorithm Practice Library that underpins core algorithm practice modules, enabling scalable onboarding and future topic expansion. Emphasis on structure, code quality, and documentation to support rapid iteration on educational content and contributor collaboration.
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for AlgoriGym-study/AlgoriGym: Focused on delivering a reusable Algorithm Practice Library that underpins core algorithm practice modules, enabling scalable onboarding and future topic expansion. Emphasis on structure, code quality, and documentation to support rapid iteration on educational content and contributor collaboration.
September 2025
August 2025
4 Commits • 4 Features
Aug 1, 2025Month: 2025-08 — Concise monthly summary for AlgoriGym-study/AlgoriGym highlighting feature-driven progress, problem-set enhancements, and technical depth with a focus on business value.
August 2025
4 Commits • 4 Features
Aug 1, 2025Month: 2025-08 — Concise monthly summary for AlgoriGym-study/AlgoriGym highlighting feature-driven progress, problem-set enhancements, and technical depth with a focus on business value.
July 2025
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for AlgoriGym study. Focused on delivering practical algorithmic capabilities, improving problem documentation, and strengthening scalable problem-solving patterns to support learners and maintainers. Key business value: expanded problem set, clearer problem statements, and reusable implementations that reduce onboarding time and support future features.
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for AlgoriGym study. Focused on delivering practical algorithmic capabilities, improving problem documentation, and strengthening scalable problem-solving patterns to support learners and maintainers. Key business value: expanded problem set, clearer problem statements, and reusable implementations that reduce onboarding time and support future features.
July 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 – AlgoriGym-study/AlgoriGym: Delivered a functional Java solution for Baekjoon 2309 'Seven Dwarfs' as part of the coding-challenges repository. The implementation uses a recursive combination approach to select seven heights from nine that sum to 100 and prints them in ascending order, producing a judge-ready output. There were no major bugs reported this month; focus remained on feature delivery and code quality. Business value: strengthens the challenge set for learners, enabling reliable practice and assessment. Technologies demonstrated: Java, recursion/backtracking, sorting, and clear commit-level traceability.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 – AlgoriGym-study/AlgoriGym: Delivered a functional Java solution for Baekjoon 2309 'Seven Dwarfs' as part of the coding-challenges repository. The implementation uses a recursive combination approach to select seven heights from nine that sum to 100 and prints them in ascending order, producing a judge-ready output. There were no major bugs reported this month; focus remained on feature delivery and code quality. Business value: strengthens the challenge set for learners, enabling reliable practice and assessment. Technologies demonstrated: Java, recursion/backtracking, sorting, and clear commit-level traceability.
Activity
Loading activity data...
Quality Metrics
Correctness91.8%
Maintainability87.2%
Architecture87.2%
Performance84.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AlgorithmAlgorithm DesignAlgorithm StudyArray ManipulationBacktrackingBreadth-First SearchCombinatoricsData StructuresDepth-First SearchGreedy AlgorithmJavaPriority QueueProblem DescriptionProblem SolvingRecursion
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline