Jihye511/Ssafy_Algo_Study
Jul 2025 – Oct 2025
4 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithmsBinary SearchCompetitive ProgrammingData StructuresDynamic Programming
양준하
PROFILE
양준하
Jihye511 developed a comprehensive algorithmic problem-solving library in the Ssafy_Algo_Study repository, delivering over 30 features in four months. She focused on building reusable modules for Baekjoon Online Judge problems, emphasizing maintainable Java code and efficient data structures. Her work included dynamic programming, graph algorithms, and greedy optimization, with performance profiling to ensure sub-second runtimes on representative tests. She applied modular design, refactoring, and consistent commit practices to improve code quality and onboarding. The solutions addressed a wide range of computational challenges, from grid traversal to combinatorics, resulting in a scalable, review-ready codebase that accelerates learning and future development.
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
1010 people
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
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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
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