DaleStudy/leetcode-study
Dec 2024 – Apr 2025
5 Months active
Languages Used
JavaScriptTypeScript
Technical Skills
AlgorithmAlgorithm OptimizationArray ManipulationBacktrackingBit ManipulationCode Refactoring
mmyeon
PROFILE
Mmyeon
Yeon developed a comprehensive LeetCode practice solutions library in the DaleStudy/leetcode-study repository, focusing on reusable, interview-ready algorithm implementations. Over five months, Yeon delivered 28 features spanning arrays, dynamic programming, trees, graphs, and interval scheduling, with a strong emphasis on correctness, performance, and maintainability. The work included migrating core solutions from JavaScript to TypeScript for improved type safety, optimizing data structures, and refactoring for clarity and efficiency. Yeon applied advanced techniques such as sliding window, binary search, and dynamic programming, while documenting complexity trade-offs and ensuring code hygiene. The resulting codebase supports rapid onboarding and scalable interview preparation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
78Total
Bugs
0
Commits
78
Features
28
Lines of code
3,313
Activity Months5
Your Network
251 people
Work History
April 2025
5 Commits • 1 Features
Apr 1, 2025Apr 2025: TypeScript refactor and performance improvements across core algorithm solutions in DaleStudy/leetcode-study. Migrated four JavaScript solutions to TypeScript to enhance type safety and runtime efficiency, covering: 217. Contains Duplicate; 347. Top K Frequent Elements; 128. Longest Consecutive Sequence; 198. House Robber. Commit sequence includes 9e763c1edbd742388dabcb9a561285b6fa9b6d25 (add solution: 217. Contains Duplicate), 90b6bcea377aa7653a8fe8335d411007047dd6a2 (add solution: 347. Top K Frequent Elements), cb600d66ac5bb146fba86234ba5ffea3c2e3c01a (add solution: 128. Longest Consecutive Sequence), 5afc675b758a7482a3c35019447ed06907e17a4d (add solution: 198. House Robber), and 4da73d7c83e50071e88e1bd747ecf23f58c259eb (apply feedback). As a result, improved type safety, correctness, and performance, with a focus on maintainability and faster feedback loops for algorithm practice content.
5 Commits • 1 Features
Apr 1, 2025Apr 2025: TypeScript refactor and performance improvements across core algorithm solutions in DaleStudy/leetcode-study. Migrated four JavaScript solutions to TypeScript to enhance type safety and runtime efficiency, covering: 217. Contains Duplicate; 347. Top K Frequent Elements; 128. Longest Consecutive Sequence; 198. House Robber. Commit sequence includes 9e763c1edbd742388dabcb9a561285b6fa9b6d25 (add solution: 217. Contains Duplicate), 90b6bcea377aa7653a8fe8335d411007047dd6a2 (add solution: 347. Top K Frequent Elements), cb600d66ac5bb146fba86234ba5ffea3c2e3c01a (add solution: 128. Longest Consecutive Sequence), 5afc675b758a7482a3c35019447ed06907e17a4d (add solution: 198. House Robber), and 4da73d7c83e50071e88e1bd747ecf23f58c259eb (apply feedback). As a result, improved type safety, correctness, and performance, with a focus on maintainability and faster feedback loops for algorithm practice content.
April 2025
March 2025
13 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for DaleStudy/leetcode-study: Focused on delivering a broad set of algorithmic solutions and performance improvements for interview preparation. Key features include Meeting Room Scheduling, BST/Binary Tree problems suite, interval insertion/merge optimizations, House Robber II DP, and array/string utilities. Major bug fixes/improvements include optimization of interval insertion from O(n log n) to O(n) and broad correctness validation across BST/tree problems. The work delivered strengthens technical depth, accelerates onboarding, and provides a scalable, maintainable codebase for interview practice. Technologies demonstrated include advanced data structures (BSTs, binary trees), dynamic programming, interval scheduling, and string/array manipulation, with emphasis on clean API design and commit discipline.
March 2025
13 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for DaleStudy/leetcode-study: Focused on delivering a broad set of algorithmic solutions and performance improvements for interview preparation. Key features include Meeting Room Scheduling, BST/Binary Tree problems suite, interval insertion/merge optimizations, House Robber II DP, and array/string utilities. Major bug fixes/improvements include optimization of interval insertion from O(n log n) to O(n) and broad correctness validation across BST/tree problems. The work delivered strengthens technical depth, accelerates onboarding, and provides a scalable, maintainable codebase for interview practice. Technologies demonstrated include advanced data structures (BSTs, binary trees), dynamic programming, interval scheduling, and string/array manipulation, with emphasis on clean API design and commit discipline.
February 2025
17 Commits • 16 Features
Feb 1, 2025February 2025 monthly summary for DaleStudy/leetcode-study: Delivered a focused, interview-ready suite of algorithm implementations across lists, arrays, trees, graphs, and intervals. Emphasis on correctness, performance, and clear complexity reasoning to support rapid interview prep and knowledge transfer. Key features delivered demonstrate robust problem-solving patterns and reusable approaches across domains.
17 Commits • 16 Features
Feb 1, 2025February 2025 monthly summary for DaleStudy/leetcode-study: Delivered a focused, interview-ready suite of algorithm implementations across lists, arrays, trees, graphs, and intervals. Emphasis on correctness, performance, and clear complexity reasoning to support rapid interview prep and knowledge transfer. Key features delivered demonstrate robust problem-solving patterns and reusable approaches across domains.
February 2025
January 2025
27 Commits • 5 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on key accomplishments, delivering across LeetCode solutions, code quality, performance improvements, and maintainability. Highlights include a comprehensive expansion of the LeetCode solution library, targeted refactors to improve performance, and ongoing maintenance to improve clarity and robustness.
January 2025
27 Commits • 5 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on key accomplishments, delivering across LeetCode solutions, code quality, performance improvements, and maintainability. Highlights include a comprehensive expansion of the LeetCode solution library, targeted refactors to improve performance, and ongoing maintenance to improve clarity and robustness.
December 2024
16 Commits • 1 Features
Dec 1, 2024December 2024 performance summary focused on delivering a reusable LeetCode practice library and improving code quality within the DaleStudy/leetcode-study repository.
16 Commits • 1 Features
Dec 1, 2024December 2024 performance summary focused on delivering a reusable LeetCode practice library and improving code quality within the DaleStudy/leetcode-study repository.
December 2024
Activity
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Quality Metrics
Correctness98.6%
Maintainability98.2%
Architecture96.6%
Performance94.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
AlgorithmAlgorithm AnalysisAlgorithm ImplementationAlgorithm OptimizationAlgorithmsArray ManipulationBacktrackingBinary SearchBinary Search TreeBit ManipulationBitwise OperationsBreadth-First Search (BFS)Code RefactoringData StructuresDepth First Search
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