Problem-solve-study/code-store
Jan 2025 – Oct 2025
10 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithm ImplementationBacktrackingCombinatoricsData StructuresDynamic Programming
박재완
PROFILE
박재완
Over ten months, WJP developed and maintained the Problem-solve-study/code-store repository, delivering 128 algorithmic features and a critical bug fix. He engineered reusable Java-based solutions for a wide range of competitive programming problems, applying dynamic programming, graph algorithms, and data structures such as segment trees and disjoint set union. His approach emphasized correctness, performance, and maintainability, with structured commits and clear documentation supporting traceability and onboarding. WJP refactored code for efficiency, optimized input/output handling, and introduced scalable templates for future problem-solving. The depth and breadth of his work established a robust foundation for ongoing algorithmic development and collaborative contributions.
Overall Statistics
Feature vs Bugs
99%Features
Repository Contributions
190Total
Bugs
1
Commits
190
Features
128
Lines of code
13,379
Activity Months10
Your Network
1016 people
Work History
October 2025
14 Commits • 14 Features
Oct 1, 2025October 2025 (Problem-solve-study/code-store): Delivered a cohesive set of algorithmic features across multiple BOJ problems, emphasizing performance optimization, robust data-structures usage, and practical IO handling. No major bug fixes were required this month; the focus was on feature delivery and code quality improvements that drive business value by enabling faster, more reliable problem-solving workflows.
14 Commits • 14 Features
Oct 1, 2025October 2025 (Problem-solve-study/code-store): Delivered a cohesive set of algorithmic features across multiple BOJ problems, emphasizing performance optimization, robust data-structures usage, and practical IO handling. No major bug fixes were required this month; the focus was on feature delivery and code quality improvements that drive business value by enabling faster, more reliable problem-solving workflows.
October 2025
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 monthly summary for Problem-solve-study/code-store focusing on algorithmic feature delivery and scalable problem-solving patterns. Work prioritized competitive programming-style algorithm implementations with emphasis on efficiency, correctness, and future reuse across problems. No major bugs fixed this period; stability maintained while delivering substantial feature sets and performance-oriented improvements.
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 monthly summary for Problem-solve-study/code-store focusing on algorithmic feature delivery and scalable problem-solving patterns. Work prioritized competitive programming-style algorithm implementations with emphasis on efficiency, correctness, and future reuse across problems. No major bugs fixed this period; stability maintained while delivering substantial feature sets and performance-oriented improvements.
August 2025
11 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for Problem-solve-study/code-store focusing on delivering reusable algorithm templates and scalable problem-solvers that accelerate competitive programming workflows.
11 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for Problem-solve-study/code-store focusing on delivering reusable algorithm templates and scalable problem-solvers that accelerate competitive programming workflows.
August 2025
July 2025
9 Commits • 9 Features
Jul 1, 2025July 2025 — Code-store monthly summary for Problem-solve-study/code-store. Delivered nine algorithmic features across grid/pathfinding, dynamic programming, graph theory, and optimization problems. Implementations emphasize correctness, performance, and reusability, with traceability to specific BoJ problems and commits. Key features delivered (selected 5 top achievements): - BOJ 24337: Sequence construction under constraints (edge-case handling) — commit 9f6d7a88e1011404b07a4f51c21a6f04173e48be - BFS-based grid movement with obstacles — commit 887c4cd94d8449eca1c112667e32d68914773973 - BOJ 14430: Dynamic programming for maximum resource value on a grid — commit d6def425324f28f3934373804570b1b250d304c7 - BOJ 22968: Maximum height of AVL tree given vertex limit — commit 7403bda0d96481768aa4a2ec56e54d084c088050 - Graph problem: minimum cost to connect villages and maximum travel cost (Kruskal MST + DFS) — commit c249ad7d4ee1753c386ad7db6833ea4d46d639bd Major bugs fixed: No explicit major bugs reported this month; focus was on feature delivery, edge-case robustness, and performance profiling. Overall impact and accomplishments: - Expanded algorithmic coverage: sequence construction, BFS, DP on grids, graph optimization, and class scheduling patterns. - Improved maintainability and traceability with well-scoped commits and problem-specific solutions. - Performance-oriented documentation added (e.g., BOJ 14430 notes) to guide future optimizations. Technologies/skills demonstrated: - Languages: Java (and related toolchains) - Algorithms/DS: BFS, dynamic programming (grid-based), Kruskal MST, graph traversal, priority queues, sorting - Data structuring and problem solving for competitive programming - Performance profiling and code documentation for maintainability
July 2025
9 Commits • 9 Features
Jul 1, 2025July 2025 — Code-store monthly summary for Problem-solve-study/code-store. Delivered nine algorithmic features across grid/pathfinding, dynamic programming, graph theory, and optimization problems. Implementations emphasize correctness, performance, and reusability, with traceability to specific BoJ problems and commits. Key features delivered (selected 5 top achievements): - BOJ 24337: Sequence construction under constraints (edge-case handling) — commit 9f6d7a88e1011404b07a4f51c21a6f04173e48be - BFS-based grid movement with obstacles — commit 887c4cd94d8449eca1c112667e32d68914773973 - BOJ 14430: Dynamic programming for maximum resource value on a grid — commit d6def425324f28f3934373804570b1b250d304c7 - BOJ 22968: Maximum height of AVL tree given vertex limit — commit 7403bda0d96481768aa4a2ec56e54d084c088050 - Graph problem: minimum cost to connect villages and maximum travel cost (Kruskal MST + DFS) — commit c249ad7d4ee1753c386ad7db6833ea4d46d639bd Major bugs fixed: No explicit major bugs reported this month; focus was on feature delivery, edge-case robustness, and performance profiling. Overall impact and accomplishments: - Expanded algorithmic coverage: sequence construction, BFS, DP on grids, graph optimization, and class scheduling patterns. - Improved maintainability and traceability with well-scoped commits and problem-specific solutions. - Performance-oriented documentation added (e.g., BOJ 14430 notes) to guide future optimizations. Technologies/skills demonstrated: - Languages: Java (and related toolchains) - Algorithms/DS: BFS, dynamic programming (grid-based), Kruskal MST, graph traversal, priority queues, sorting - Data structuring and problem solving for competitive programming - Performance profiling and code documentation for maintainability
June 2025
3 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) monthly summary for Problem-solve-study/code-store. Focused on delivering robust algorithmic solutions across three BOJ problems, leveraging dynamic programming, precision arithmetic, and efficient search techniques. No major bugs fixed this month; the work centered on feature delivery and code quality improvements through targeted commits and clear problem-focused patterns.
3 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) monthly summary for Problem-solve-study/code-store. Focused on delivering robust algorithmic solutions across three BOJ problems, leveraging dynamic programming, precision arithmetic, and efficient search techniques. No major bugs fixed this month; the work centered on feature delivery and code quality improvements through targeted commits and clear problem-focused patterns.
June 2025
May 2025
18 Commits • 18 Features
May 1, 2025May 2025 monthly performance summary for Problem-solve-study/code-store: Delivered a broad set of algorithm-focused features across the BOJ problem set with emphasis on correctness, performance, and robustness. The work expanded problem-solving coverage through 18 new feature implementations spanning number theory, graphs, dynamic programming, greedy strategies, and string processing. Notable highlights include a Java-based Palindromic Prime Finder, BFS-based minimum depth of two supporting nodes with fast I/O, and an O(log N) term computation via matrix exponentiation, complemented by numerous DP/greedy/graph solutions across problems like 1090, 15553, 2240, 9536, 3665, 20210, 1022, 17130, 15926, 14948, 5624, and 1755.
May 2025
18 Commits • 18 Features
May 1, 2025May 2025 monthly performance summary for Problem-solve-study/code-store: Delivered a broad set of algorithm-focused features across the BOJ problem set with emphasis on correctness, performance, and robustness. The work expanded problem-solving coverage through 18 new feature implementations spanning number theory, graphs, dynamic programming, greedy strategies, and string processing. Notable highlights include a Java-based Palindromic Prime Finder, BFS-based minimum depth of two supporting nodes with fast I/O, and an O(log N) term computation via matrix exponentiation, complemented by numerous DP/greedy/graph solutions across problems like 1090, 15553, 2240, 9536, 3665, 20210, 1022, 17130, 15926, 14948, 5624, and 1755.
April 2025
43 Commits • 28 Features
Apr 1, 2025April 2025 monthly summary focusing on expanding problem-solving coverage, refactoring for maintainability, and performance tuning. Delivered new BOJ problem solutions across 1303, 2099, 14395, 2290, 1764, 2572 (board game) with a DP-based refactor, added depth-parameter calculations, documented memory/time constraints for BOJ 7894, and broadened N/E variant support (0410, 0413, 0414, 0415, 0418) for better test coverage and maintainability. Committed to clean code, automated tests, and clearer documentation to enable faster onboarding and future optimizations.
43 Commits • 28 Features
Apr 1, 2025April 2025 monthly summary focusing on expanding problem-solving coverage, refactoring for maintainability, and performance tuning. Delivered new BOJ problem solutions across 1303, 2099, 14395, 2290, 1764, 2572 (board game) with a DP-based refactor, added depth-parameter calculations, documented memory/time constraints for BOJ 7894, and broadened N/E variant support (0410, 0413, 0414, 0415, 0418) for better test coverage and maintainability. Committed to clean code, automated tests, and clearer documentation to enable faster onboarding and future optimizations.
April 2025
March 2025
45 Commits • 32 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for Problem-solve-study/code-store. Expanded the practice catalog with 32 initial BOJ problem solutions across diverse algorithm domains (e.g., graph, DP, greedy, math, geometry, and string/array problems), establishing a solid baseline for onboarding new contributors and users. Maintained strong traceability with consistent commit messages (Solve: BOJ …) enabling auditing and rollback if needed. No major bugs fixed in the provided records; focus was on delivering features and stabilizing the codebase with refactors and documentation updates to improve maintainability and future performance tuning.
March 2025
45 Commits • 32 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for Problem-solve-study/code-store. Expanded the practice catalog with 32 initial BOJ problem solutions across diverse algorithm domains (e.g., graph, DP, greedy, math, geometry, and string/array problems), establishing a solid baseline for onboarding new contributors and users. Maintained strong traceability with consistent commit messages (Solve: BOJ …) enabling auditing and rollback if needed. No major bugs fixed in the provided records; focus was on delivering features and stabilizing the codebase with refactors and documentation updates to improve maintainability and future performance tuning.
February 2025
35 Commits • 8 Features
Feb 1, 2025February 2025 performance summary for Problem-solve-study/code-store. Expanded the problem-solving library with a dense batch of BOJ solutions, a comprehensive graph/tree solution set, and several new problem solvers. Completed a critical bug fix for BOJ 20440, plus substantial refactors to IO, project structure, and recursion performance. These efforts improved code reliability, maintainability, and velocity for tackling algorithmic challenges, enabling faster delivery of solutions and reusable components across problems.
35 Commits • 8 Features
Feb 1, 2025February 2025 performance summary for Problem-solve-study/code-store. Expanded the problem-solving library with a dense batch of BOJ solutions, a comprehensive graph/tree solution set, and several new problem solvers. Completed a critical bug fix for BOJ 20440, plus substantial refactors to IO, project structure, and recursion performance. These efforts improved code reliability, maintainability, and velocity for tackling algorithmic challenges, enabling faster delivery of solutions and reusable components across problems.
February 2025
January 2025
6 Commits • 6 Features
Jan 1, 2025January 2025 — Delivered six Java-based algorithmic features in Problem-solve-study/code-store, advancing a reusable problem-solving library. Features include BOJ 12107 (conditional output), BOJ 6603 (6-number combinations), BOJ 12869 (3D DP to reduce numbers to zero), BOJ 2257 (stack-based molecular weight with nested parentheses), BOJ 13270 (DP for max Fibonacci-sum with min coins), and BOJ 15903 (PriorityQueue-based operations). Each feature is tracked via explicit commits for traceability. No explicit bug fixes were recorded this month; focus was on correctness, performance, and maintainability. Impact: improved library readiness for future solution development, faster delivery of algorithmic patterns, and clearer documentation through commits. Technologies/skills demonstrated: Java, dynamic programming (including 3D DP), stack parsing, combinatorial generation, and PriorityQueue usage.
January 2025
6 Commits • 6 Features
Jan 1, 2025January 2025 — Delivered six Java-based algorithmic features in Problem-solve-study/code-store, advancing a reusable problem-solving library. Features include BOJ 12107 (conditional output), BOJ 6603 (6-number combinations), BOJ 12869 (3D DP to reduce numbers to zero), BOJ 2257 (stack-based molecular weight with nested parentheses), BOJ 13270 (DP for max Fibonacci-sum with min coins), and BOJ 15903 (PriorityQueue-based operations). Each feature is tracked via explicit commits for traceability. No explicit bug fixes were recorded this month; focus was on correctness, performance, and maintainability. Impact: improved library readiness for future solution development, faster delivery of algorithmic patterns, and clearer documentation through commits. Technologies/skills demonstrated: Java, dynamic programming (including 3D DP), stack parsing, combinatorial generation, and PriorityQueue usage.
Activity
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Quality Metrics
Correctness96.6%
Maintainability80.4%
Architecture79.4%
Performance89.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Adjacency ListAlgorithmAlgorithm AnalysisAlgorithm ImplementationAlgorithm OptimizationAlgorithmsBFSBacktrackingBase ConversionBig Data HandlingBigIntegerBinary SearchBitwise OperationsBreadth-First SearchBreadth-First Search (BFS)
Repositories Contributed To
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