Jihye511/Ssafy_Algo_Study
Jul 2025 – Oct 2025
4 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithmsBinary SearchCompetitive ProgrammingData StructuresDynamic Programming
양준하
PROFILE
양준하
Developed a comprehensive suite of algorithmic solutions in the Jihye511/Ssafy_Algo_Study repository, focusing on efficient problem-solving for Baekjoon Online Judge challenges. Over four months, delivered thirty new features spanning graph algorithms, dynamic programming, and combinatorics, with an emphasis on performance optimization and maintainable code structure. Leveraged Java and advanced data structures such as heaps, deques, and priority queues to address complex tasks like shortest-path calculations, grid traversal, and resource allocation. Applied modular design and consistent refactoring practices to ensure code readability and extensibility, supporting rapid onboarding and scalable study workflows without introducing production bugs during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
77Total
Bugs
0
Commits
77
Features
30
Lines of code
3,948
Activity Months4
Your Network
1140 peopleShared Repositories
9
DESKTOP-DLOPF19\SSAFYMember
DESKTOP-HA97GMI\SSAFYMember
Hyun0229Member
김태인Member
이지혜Member
Kim_GMember
윤규성Member
chanki00Member
sso9594Member
Work History
October 2025
14 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for Jihye511/Ssafy_Algo_Study. This period focused on delivering a cohesive suite of algorithmic features across graph, grid DP, spatial compression, and combinatorics, with performance-oriented improvements and robust problem-solving capabilities. Business value was achieved through expanded problem-domain coverage, faster runtimes on representative BOJ tests, and reusable data-structure components that accelerate future development and testing. Major bugs fixed: No standalone bug-fix commits were identified in the provided data; improvements were achieved through feature work and performance optimizations. Overall impact and accomplishments: Delivered multi-module feature work enabling efficient graph-based shortest-path and visibility solutions, grid DP with range queries, quad-tree spatial compression, sliding window constraint problems, and expanded DP/combinatorics coverage. These changes increase problem-solving capacity, reduce execution time on common inputs, and provide reusable components for scalable algorithm practice and benchmarking. Technologies/skills demonstrated: Graph algorithms, dynamic programming, combinatorics, greedy optimization, and data structures (quadtree, deque). Strong emphasis on performance profiling and optimization, problem-solving patterns aligned with BOJ-style challenges.
14 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for Jihye511/Ssafy_Algo_Study. This period focused on delivering a cohesive suite of algorithmic features across graph, grid DP, spatial compression, and combinatorics, with performance-oriented improvements and robust problem-solving capabilities. Business value was achieved through expanded problem-domain coverage, faster runtimes on representative BOJ tests, and reusable data-structure components that accelerate future development and testing. Major bugs fixed: No standalone bug-fix commits were identified in the provided data; improvements were achieved through feature work and performance optimizations. Overall impact and accomplishments: Delivered multi-module feature work enabling efficient graph-based shortest-path and visibility solutions, grid DP with range queries, quad-tree spatial compression, sliding window constraint problems, and expanded DP/combinatorics coverage. These changes increase problem-solving capacity, reduce execution time on common inputs, and provide reusable components for scalable algorithm practice and benchmarking. Technologies/skills demonstrated: Graph algorithms, dynamic programming, combinatorics, greedy optimization, and data structures (quadtree, deque). Strong emphasis on performance profiling and optimization, problem-solving patterns aligned with BOJ-style challenges.
October 2025
September 2025
23 Commits • 3 Features
Sep 1, 2025September 2025 (2025-09) performance summary for Jihye511/Ssafy_Algo_Study. Key deliverables and outcomes: - BOJ Problem Solutions Batch - 2025-09 Batch 1: Delivered a cohesive batch of 15 problem solutions across problems 7682, 2668, 22251, 7490, 16234, 2138, 1863, 4485, 1253, 1806, 1987, 2110, 9935, 13144, 1976. Each problem shipped with optimized, PR-ready implementations and performance-focused refinements. Representative commits include 4ea7aa49c0b0ea6ed9b154931238fd6c3034dd8b (7682, 108ms), bac7a87586aa70662acfb52dcb1764087e6ecbba (2668, 72ms), 760662f574c9f250a7593a60d40c0ad28ee6bcce (22251, 204ms) and others across the batch. - Baekjoon Online Judge Solutions: Added solutions for six additional problems (1027, 2179, 2631, 4179, 14658, 2206), with multiple commits per problem to validate correctness and optimize runtime (e.g., 6df6643314f8ca6f1559bf82ad41581806bc88f5, 04a6db2edf03a7620f48029625ad14c9bd4f178b, 1ffe941217c9bee324bfeea7b4e32d27cda6a9fc). - Weekly Study: Week 13 update completed, documenting progress and reinforcing best practices (commit: WEEK13). - Quality and maintainability: Per-problem refactors and consistent coding conventions improved readability and ease of review; no critical production bugs were reported in this period. - Business value and impact: Increased problem-solving throughput, creating a readily reviewable, scalable body of solutions that accelerate learning, onboarding, and candidate readiness for coding interviews. Technologies/skills demonstrated: - Algorithmic problem solving across diverse topics (greedy, DFS/BFS, dynamic programming, data structures) with emphasis on correctness and runtime efficiency. - Performance tuning and profiling, achieving sub-second runtimes on numerous problems (e.g., 72ms–848ms ranges per commit). - Strong git-based workflow: granular commits per problem, clear messages, and PR-ready documentation; consistent naming and modular solution structure. - Documentation and reproducibility: explicit problem lists and batch summaries support knowledge sharing and future audits.
September 2025
23 Commits • 3 Features
Sep 1, 2025September 2025 (2025-09) performance summary for Jihye511/Ssafy_Algo_Study. Key deliverables and outcomes: - BOJ Problem Solutions Batch - 2025-09 Batch 1: Delivered a cohesive batch of 15 problem solutions across problems 7682, 2668, 22251, 7490, 16234, 2138, 1863, 4485, 1253, 1806, 1987, 2110, 9935, 13144, 1976. Each problem shipped with optimized, PR-ready implementations and performance-focused refinements. Representative commits include 4ea7aa49c0b0ea6ed9b154931238fd6c3034dd8b (7682, 108ms), bac7a87586aa70662acfb52dcb1764087e6ecbba (2668, 72ms), 760662f574c9f250a7593a60d40c0ad28ee6bcce (22251, 204ms) and others across the batch. - Baekjoon Online Judge Solutions: Added solutions for six additional problems (1027, 2179, 2631, 4179, 14658, 2206), with multiple commits per problem to validate correctness and optimize runtime (e.g., 6df6643314f8ca6f1559bf82ad41581806bc88f5, 04a6db2edf03a7620f48029625ad14c9bd4f178b, 1ffe941217c9bee324bfeea7b4e32d27cda6a9fc). - Weekly Study: Week 13 update completed, documenting progress and reinforcing best practices (commit: WEEK13). - Quality and maintainability: Per-problem refactors and consistent coding conventions improved readability and ease of review; no critical production bugs were reported in this period. - Business value and impact: Increased problem-solving throughput, creating a readily reviewable, scalable body of solutions that accelerate learning, onboarding, and candidate readiness for coding interviews. Technologies/skills demonstrated: - Algorithmic problem solving across diverse topics (greedy, DFS/BFS, dynamic programming, data structures) with emphasis on correctness and runtime efficiency. - Performance tuning and profiling, achieving sub-second runtimes on numerous problems (e.g., 72ms–848ms ranges per commit). - Strong git-based workflow: granular commits per problem, clear messages, and PR-ready documentation; consistent naming and modular solution structure. - Documentation and reproducibility: explicit problem lists and batch summaries support knowledge sharing and future audits.
August 2025
22 Commits • 3 Features
Aug 1, 2025August 2025: Delivered a scalable BOJ problem-solving library in Jihye511/Ssafy_Algo_Study, aligned with business goals of faster problem-solving workflows and maintainable code. Key work included delivering the BOJ Problem Solutions Suite as the library backbone, a maintenance pass to reorganize weekly packages, and performance optimizations to critical problems. This combination reduced runtime on core problems and improved maintainability and extensibility for future problem sets.
22 Commits • 3 Features
Aug 1, 2025August 2025: Delivered a scalable BOJ problem-solving library in Jihye511/Ssafy_Algo_Study, aligned with business goals of faster problem-solving workflows and maintainable code. Key work included delivering the BOJ Problem Solutions Suite as the library backbone, a maintenance pass to reorganize weekly packages, and performance optimizations to critical problems. This combination reduced runtime on core problems and improved maintainability and extensibility for future problem sets.
August 2025
July 2025
18 Commits • 17 Features
Jul 1, 2025July 2025: Delivered instrumented feature work across Ssafy_Algo_Study with a focus on algorithmic optimization, performance, and maintainability. The month emphasized building generic capabilities and high-value problem solutions that demonstrate business value through improved efficiency and scalable code.
July 2025
18 Commits • 17 Features
Jul 1, 2025July 2025: Delivered instrumented feature work across Ssafy_Algo_Study with a focus on algorithmic optimization, performance, and maintainability. The month emphasized building generic capabilities and high-value problem solutions that demonstrate business value through improved efficiency and scalable code.
Activity
Loading activity data...
Quality Metrics
Correctness96.4%
Maintainability82.4%
Architecture80.2%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBFSBacktrackingBinary SearchBit ManipulationBreadth First SearchBreadth-First SearchBreadth-First Search (BFS)Code CleanupCompetitive ProgrammingData StructuresDepth First SearchDepth-First Search
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline