DaleStudy/leetcode-study
Mar 2026 – Jun 2026
4 Months active
Languages Used
C++JavaJavaScriptPythonSwiftTypeScript
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentdata structuresdynamic programming
Ju Hwijung
PROFILE
Ju Hwijung
Developed and expanded the DaleStudy/leetcode-study repository over four months, delivering a comprehensive library of algorithmic solutions focused on data structures, graph theory, and binary trees. Solutions were implemented primarily in C++ with additional coverage in Java and Python, emphasizing modular class design and maintainable code. The work included optimizing dynamic programming algorithms, introducing reusable components for problems like 3Sum and Longest Increasing Subsequence, and enhancing educational value through detailed inline documentation. Regular weekly milestones ensured consistent delivery, while disciplined commit practices improved traceability. These contributions broadened practice coverage, improved onboarding for learners, and supported scalable, language-agnostic problem solving.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
23Total
Bugs
1
Commits
23
Features
7
Lines of code
288,101
Activity Months4
Your Network
310 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for DaleStudy/leetcode-study: Delivered a substantial expansion of the LeetCode Study library by adding ten new problem solutions across graph theory, binary tree manipulation, string processing, and matrix operations, implemented as standalone C++ classes. The work spanned two weekly milestones (14주차 and 15주차) with commits a2abe12a7fe7a02c2c900e11b295000adc35f27f and c6a6faef076191c4905ab6f4bc84f6044b054b2b (#2636). Major bug fixes: none reported. Impact: broadened practice coverage, improved onboarding for learners, and a modular, maintainable codebase. Technologies/skills demonstrated: C++, algorithm design, modular class design, and disciplined commit hygiene.
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for DaleStudy/leetcode-study: Delivered a substantial expansion of the LeetCode Study library by adding ten new problem solutions across graph theory, binary tree manipulation, string processing, and matrix operations, implemented as standalone C++ classes. The work spanned two weekly milestones (14주차 and 15주차) with commits a2abe12a7fe7a02c2c900e11b295000adc35f27f and c6a6faef076191c4905ab6f4bc84f6044b054b2b (#2636). Major bug fixes: none reported. Impact: broadened practice coverage, improved onboarding for learners, and a modular, maintainable codebase. Technologies/skills demonstrated: C++, algorithm design, modular class design, and disciplined commit hygiene.
June 2026
May 2026
7 Commits • 3 Features
May 1, 2026Month: 2026-05 - DaleStudy/leetcode-study: delivered key features expanding problem-solving coverage across algorithms and data structures, fixed issues, and enhanced code reuse. This month focused on implementing 3Sum across languages, expanding a broad algorithm library covering graphs, trees, arrays, linked lists, intervals, and BSTs, and introducing tree/linked-list transformations. These contributions improve interview readiness, code reusability, and solution consistency across languages.
May 2026
7 Commits • 3 Features
May 1, 2026Month: 2026-05 - DaleStudy/leetcode-study: delivered key features expanding problem-solving coverage across algorithms and data structures, fixed issues, and enhanced code reuse. This month focused on implementing 3Sum across languages, expanding a broad algorithm library covering graphs, trees, arrays, linked lists, intervals, and BSTs, and introducing tree/linked-list transformations. These contributions improve interview readiness, code reusability, and solution consistency across languages.
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026: Expanded educational content with 20 new algorithm solutions (Weeks 5–8) for DaleStudy/leetcode-study, accompanied by comprehensive inline comments. Implemented a performance-focused LIS optimization from O(n^2) to O(n log n) using dynamic programming with binary search. These efforts increase learner coverage of data structures and algorithms and improve scalability for large inputs, delivering measurable business value through better learning outcomes and platform efficiency.
6 Commits • 2 Features
Apr 1, 2026April 2026: Expanded educational content with 20 new algorithm solutions (Weeks 5–8) for DaleStudy/leetcode-study, accompanied by comprehensive inline comments. Implemented a performance-focused LIS optimization from O(n^2) to O(n log n) using dynamic programming with binary search. These efforts increase learner coverage of data structures and algorithms and improve scalability for large inputs, delivering measurable business value through better learning outcomes and platform efficiency.
April 2026
March 2026
8 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for DaleStudy/leetcode-study: Delivered a scalable Algorithmic Solutions Library, adding 10 LeetCode-style solutions across arrays, hashing, DP, and BST topics, and implemented a repository hygiene fix to ensure reliable file referencing. Established a repeatable weekly delivery cadence to accelerate learning and build a reference solution set, laying groundwork for future expansion and automated testing.
March 2026
8 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for DaleStudy/leetcode-study: Delivered a scalable Algorithmic Solutions Library, adding 10 LeetCode-style solutions across arrays, hashing, DP, and BST topics, and implemented a repository hygiene fix to ensure reliable file referencing. Established a repeatable weekly delivery cadence to accelerate learning and build a reference solution set, laying groundwork for future expansion and automated testing.
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.0%
Architecture93.0%
Performance93.2%
AI Usage21.8%
Skills & Technologies
Programming Languages
C++JavaJavaScriptPythonSwiftTypeScript
Technical Skills
AlgorithmsBinary TreesC++C++ programmingData StructuresGraph Theoryalgorithm designalgorithm developmentdata structuresdynamic programmingfile managementlinked listsproblem solvingsorting algorithmsstring manipulation
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