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Namhoon Kim developed and maintained the Problem-solve-study/code-store repository, delivering 73 algorithmic features over eight months with a focus on competitive programming and code quality. He implemented solutions for a wide range of problems using Java and Python, applying techniques such as dynamic programming, graph traversal, greedy algorithms, and binary search. His work included refactoring for maintainability, adding documentation to support onboarding, and optimizing performance for large-scale computations. By leveraging data structures and advanced algorithms, Namhoon ensured robust, scalable solutions while maintaining disciplined commit practices. The depth and breadth of his engineering contributed to a reliable, reusable codebase.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

122Total
Bugs
0
Commits
122
Features
73
Lines of code
6,966
Activity Months8

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary for Problem-solve-study/code-store: Delivered a solver feature for BOJ 15573 Minimum Performance Threshold using a binary search over performance levels with BFS-based reachability checks. This enables reliable determination of the minimum performance needed to mine K minerals, improving automation, test coverage, and decision-making for performance planning. The work is encapsulated in a single, well-documented commit and lays groundwork for future enhancements.

August 2025

3 Commits • 2 Features

Aug 1, 2025

Monthly work summary for 2025-08 (Problem-solve-study/code-store). Focused on feature development and documentation with clear business value. Implemented efficient BOJ problem solutions (21758 and 24513) and updated onboarding/readme entries. Maintained high code quality and traceability via descriptive commits. No major defects reported; primarily delivered capabilities and knowledge sharing.

July 2025

14 Commits • 7 Features

Jul 1, 2025

July 2025 performance: Delivered a focused set of algorithmic features and bug fixes in Problem-solve-study/code-store, emphasizing scalable graph processing, advanced data structures, grid techniques, combinatorics, and scheduling. The work enhances problem-solving efficiency, code quality, and maintainability, aligning technical outcomes with business value such as faster delivery of robust solutions and reusable templates.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered the BOJ 23559 - Greedy optimal bill combination feature in Problem-solve-study/code-store. No major bugs fixed this month. Business impact: provides a fast, accurate method to assemble optimal 5000/1000 won bill mixes, enabling scalable denomination computations and improved problem-solving throughput. Technologies/skills demonstrated: greedy algorithm design, sorting-based optimization, commit-based development, and maintainable code structure.

May 2025

13 Commits • 9 Features

May 1, 2025

May 2025 was a focused month of feature development and knowledge consolidation for the Problem-solve-study/code-store repository. The work delivered a diverse set of algorithmic solutions, improved documentation, and reinforced a robust problem-solving toolkit. Key outcomes include multiple high-impact algorithmic features, targeted performance improvements, and ready-to-share practice material that strengthens readiness for interviews and technical reviews.

April 2025

36 Commits • 20 Features

Apr 1, 2025

April 2025 in Problem-solve-study/code-store focused on broad, high-velocity delivery of algorithmic problem solutions across the BOJ problem set, with targeted refactors and documentation to boost maintainability and onboarding. Delivered end-to-end features for problems spanning 0401 through 16498 (examples: 16565, 1303, 7568, 14395, 1764, 2572, 7894, 17265, 17408, 2450, 1629, 19542, 21922, 10836, 13902, 3673, 2983, 14677, 12837, 3025, 2922, 5502, 25401, 15811, 27940, 9376, 12886, 16498), with notable refactors and documentation improvements (e.g., 17408 max-value selection logic; 21922 refactor) to improve correctness, readability, and future maintenance.

March 2025

22 Commits • 20 Features

Mar 1, 2025

March 2025 monthly performance for Problem-solve-study/code-store. Focused on expanding competitive-programming problem-solving capabilities and improving code quality through targeted refactors. Delivered solutions to 20 BOJ problems across diverse algorithms, with two notable refactors to improve modularity and maintainability in BOJ 2157 and BOJ 16964. No critical bugs reported; all work shipped as feature work and code hygiene improvements.

February 2025

32 Commits • 13 Features

Feb 1, 2025

February 2025 (Month: 2025-02) focused on expanding algorithmic problem solving in the Problem-solve-study/code-store repository while improving code quality and onboarding. The month delivered breadth and depth across BOJ problems, with several refactors to improve correctness and maintainability. Key outcomes: - Delivered and/or refactored 13 BOJ problems spanning Batch 2 Fundamental and Core problem sets, including standalone solves and refactor efforts. Highlights include Solve: BOJ 11727, 12107, 13270, 15903, 19622, 17281, 17175, 2589, and batch/problem sets 17478, 2178, 11725, 17220; plus Batch 2 Core problems (13699, 23843, 5546, 5014, 2653, 7682, 14889, 1490, 17088, 5568, 1890). - Notable refactors to improve correctness and maintainability: BOJ 12869 (solve + refactor) and BOJ 1821 (solve + refactor). In BOJ 16637, multiple refactors plus a clarifying comment were added to improve maintainability and readability. - Added contextual comments for BOJ 2589 to aid future work and onboarding. - Demonstrated breadth of algorithmic mastery, including recursion, BFS/maze traversal, dynamic programming, backtracking, trees, and greedy patterns, applied across both fundamental and core problem sets. - Maintained disciplined commit practices with clear messaging, enabling faster reviews, easier onboarding, and reliable traceability to individual changes.

Activity

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Quality Metrics

Correctness92.6%
Maintainability80.8%
Architecture78.0%
Performance85.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaMarkdownPython

Technical Skills

2D Prefix SumAlgorithmAlgorithm AnalysisAlgorithm ImplementationAlgorithm OptimizationAlgorithmsBFSBack-end DevelopmentBacktrackingBinary SearchBinary TreesBit ManipulationBitmaskingBreadth-First SearchBreadth-First Search (BFS)

Repositories Contributed To

1 repo

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

Problem-solve-study/code-store

Feb 2025 Oct 2025
8 Months active

Languages Used

JavaMarkdownPython

Technical Skills

AlgorithmAlgorithm AnalysisAlgorithm ImplementationBFSBack-end DevelopmentBacktracking

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