Problem-solve-study/code-store
Jan 2025 – Aug 2025
6 Months active
Languages Used
JavaPython
Technical Skills
AlgorithmJavaAlgorithm ImplementationAlgorithmsBFSBacktracking
홍민기
PROFILE
홍민기
Over six months, Hyeonmin Kim developed a suite of algorithmic solutions in the Problem-solve-study/code-store repository, focusing on competitive programming challenges. He engineered features such as graph traversal, dynamic programming, combinatorial optimization, and string manipulation, primarily using Java and Python. His approach emphasized reusable, well-documented code with robust input handling and edge-case coverage. Kim applied techniques like DFS, BFS, prefix sums, and modular arithmetic to solve problems ranging from resource allocation to tournament simulation. The work demonstrated depth in algorithm design and implementation, resulting in a maintainable codebase that supports rapid prototyping and scalable problem-solving for future tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
48Total
Bugs
0
Commits
48
Features
23
Lines of code
2,155
Activity Months6
Your Network
15 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08 — Code: Problem-solve-study/code-store. Delivered the Two-Bees Honey Collection Optimization feature for BOJ 21758. Implemented an efficient algorithm using prefix sums and strategic beehive-position exploration to maximize honey collection. The change is anchored by commit 29feeacc47f8d20bf2937d460f2e64b5a96082ce (Solve: 0819 N BOJ 21758). No major bugs reported this month; focus was on feature delivery, correctness, and performance. This work enhances problem-solving capabilities and provides a reusable optimization pattern for similar competitive programming tasks.
1 Commits • 1 Features
Aug 1, 2025Month 2025-08 — Code: Problem-solve-study/code-store. Delivered the Two-Bees Honey Collection Optimization feature for BOJ 21758. Implemented an efficient algorithm using prefix sums and strategic beehive-position exploration to maximize honey collection. The change is anchored by commit 29feeacc47f8d20bf2937d460f2e64b5a96082ce (Solve: 0819 N BOJ 21758). No major bugs reported this month; focus was on feature delivery, correctness, and performance. This work enhances problem-solving capabilities and provides a reusable optimization pattern for similar competitive programming tasks.
August 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered the BOJ 1057 Round Counter feature in Problem-solve-study/code-store, enabling calculation of the minimum number of rounds until two participants meet in a knockout tournament. The change provides a reusable approach for round-based problems and strengthens the platform's problem-solving analytics. No major bugs were reported this month, and the work lays a solid foundation for future enhancements and tooling.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered the BOJ 1057 Round Counter feature in Problem-solve-study/code-store, enabling calculation of the minimum number of rounds until two participants meet in a knockout tournament. The change provides a reusable approach for round-based problems and strengthens the platform's problem-solving analytics. No major bugs were reported this month, and the work lays a solid foundation for future enhancements and tooling.
April 2025
19 Commits • 12 Features
Apr 1, 2025Concise monthly summary for 2025-04 for the Problem-solve-study/code-store repository. Delivered a broad set of algorithmic problem-solving features across DFS, BFS, DP, optimization, and data structures, improving code coverage, performance, and maintainability. No explicit bug fixes reported this month; focus on robust solutions, scalable patterns, and business value through efficient problem-solving capabilities.
19 Commits • 12 Features
Apr 1, 2025Concise monthly summary for 2025-04 for the Problem-solve-study/code-store repository. Delivered a broad set of algorithmic problem-solving features across DFS, BFS, DP, optimization, and data structures, improving code coverage, performance, and maintainability. No explicit bug fixes reported this month; focus on robust solutions, scalable patterns, and business value through efficient problem-solving capabilities.
April 2025
March 2025
8 Commits • 4 Features
Mar 1, 2025Monthly summary for 2025-03 (Problem-solve-study/code-store). Focused on delivering four key feature areas: Dynamic Programming and Mathematical Optimization Suite; String and Text Processing Utilities; Grid-Based Combinatorial Optimization; Sieve-Based Coloring and Prime Factorization Utilities. No major bugs reported this month; emphasis on performance, correctness, and reusability. Business impact: expands problem-solving repertoire, enabling rapid prototyping for BOJ-style challenges and scalable utilities for future work. Technologies demonstrated: dynamic programming, mathematical optimization, DFS, sieve-based algorithms, and text processing patterns; commits show a disciplined, incremental approach to delivering verifiable changes.
March 2025
8 Commits • 4 Features
Mar 1, 2025Monthly summary for 2025-03 (Problem-solve-study/code-store). Focused on delivering four key feature areas: Dynamic Programming and Mathematical Optimization Suite; String and Text Processing Utilities; Grid-Based Combinatorial Optimization; Sieve-Based Coloring and Prime Factorization Utilities. No major bugs reported this month; emphasis on performance, correctness, and reusability. Business impact: expands problem-solving repertoire, enabling rapid prototyping for BOJ-style challenges and scalable utilities for future work. Technologies demonstrated: dynamic programming, mathematical optimization, DFS, sieve-based algorithms, and text processing patterns; commits show a disciplined, incremental approach to delivering verifiable changes.
February 2025
18 Commits • 4 Features
Feb 1, 2025February 2025 (Problem-solve-study/code-store) monthly summary focusing on business value and technical achievements. Delivered a broad suite of algorithmic solutions across graph traversal, dynamic programming, combinatorial search, and number-theory/optimization, reinforcing problem-solving templates and scalability for future tasks.
18 Commits • 4 Features
Feb 1, 2025February 2025 (Problem-solve-study/code-store) monthly summary focusing on business value and technical achievements. Delivered a broad suite of algorithmic solutions across graph traversal, dynamic programming, combinatorial search, and number-theory/optimization, reinforcing problem-solving templates and scalability for future tasks.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Key feature delivered and impact: Implemented the BOJ 15903 Card Merging Solution in Problem-solve-study/code-store. The solution reads input, sorts the array, and repeatedly merges the two smallest numbers to accumulate the total cost, producing the final sum. This is implemented with a clear, testable approach and a final sum suitable for competitive programming evaluation. Commit: 064b52392ab37cd15634a54372178dc13d438eb9. Major bugs fixed: No critical bugs reported; minor robustness improvements to input handling and edge-case processing to ensure correctness for large inputs and empty/single-element cases. Overall impact and accomplishments: Delivered a production-quality, interview-ready algorithm; strengthened the code-store repository with a reusable, well-documented solution that demonstrates practical problem-solving skills and readiness for performance reviews. Enhanced team confidence in algorithmic capabilities and accelerated learning for similar problems. Technologies/skills demonstrated: Algorithm design and implementation, sorting-based merging strategy, iterative computation, input parsing, edge-case handling, code readability, and version control discipline (clear commit message).
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Key feature delivered and impact: Implemented the BOJ 15903 Card Merging Solution in Problem-solve-study/code-store. The solution reads input, sorts the array, and repeatedly merges the two smallest numbers to accumulate the total cost, producing the final sum. This is implemented with a clear, testable approach and a final sum suitable for competitive programming evaluation. Commit: 064b52392ab37cd15634a54372178dc13d438eb9. Major bugs fixed: No critical bugs reported; minor robustness improvements to input handling and edge-case processing to ensure correctness for large inputs and empty/single-element cases. Overall impact and accomplishments: Delivered a production-quality, interview-ready algorithm; strengthened the code-store repository with a reusable, well-documented solution that demonstrates practical problem-solving skills and readiness for performance reviews. Enhanced team confidence in algorithmic capabilities and accelerated learning for similar problems. Technologies/skills demonstrated: Algorithm design and implementation, sorting-based merging strategy, iterative computation, input parsing, edge-case handling, code readability, and version control discipline (clear commit message).
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability79.2%
Architecture71.6%
Performance78.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
JavaPython
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBFSBacktrackingBinary SearchBit ManipulationBitmaskingBreadth-First SearchBreadth-First Search (BFS)Brute ForceCompetitive ProgrammingData StructuresDepth First SearchDepth First Search (DFS)
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline