DaleStudy/leetcode-study
Jul 2025 – Sep 2025
3 Months active
Languages Used
JavaScript
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBinary Search Tree (BST)Code FormattingData Structures
jangwonyoon
PROFILE
Jangwonyoon
Over a three-month period, this developer contributed to the DaleStudy/leetcode-study repository by building and refining a suite of algorithmic solutions in JavaScript. They implemented features such as optimized hash map-based Two Sum, recursive linked list merging, and DFS-driven word search, focusing on correctness, performance, and maintainability. Their work included multiple approaches for problems like rotated array minimums and palindrome substring counting, demonstrating depth in algorithm design and data structure manipulation. Code quality was enhanced through consistent formatting and linting improvements. These contributions provided reusable templates and robust problem-solving utilities, directly supporting interview preparation and scalable analytics workflows.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
25Total
Bugs
2
Commits
25
Features
17
Lines of code
817
Activity Months3
Your Network
1252 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 — DaleStudy/leetcode-study: Delivered Palindrome Substring Counter feature with two implementations (brute-force and DFS) to enable robust string analytics. The implementations enumerate all substrings and verify palindromes, delivering O(n^2) time and O(1) space. This work establishes a performance- and correctness-focused foundation for palindrome analytics and supports downstream analytics pipelines. No major bugs fixed this month; QA focused on validating correctness of both implementations and preparing for performance optimization in the next cycle. Commits: 6e87588c015a43eb63ce4d7c6e2a0df38ce200e6, 135fa6ea2f2676ed8cca9d3c51c839d927f919ee.
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 — DaleStudy/leetcode-study: Delivered Palindrome Substring Counter feature with two implementations (brute-force and DFS) to enable robust string analytics. The implementations enumerate all substrings and verify palindromes, delivering O(n^2) time and O(1) space. This work establishes a performance- and correctness-focused foundation for palindrome analytics and supports downstream analytics pipelines. No major bugs fixed this month; QA focused on validating correctness of both implementations and preparing for performance optimization in the next cycle. Commits: 6e87588c015a43eb63ce4d7c6e2a0df38ce200e6, 135fa6ea2f2676ed8cca9d3c51c839d927f919ee.
September 2025
August 2025
9 Commits • 7 Features
Aug 1, 2025August 2025: Delivered a series of algorithmic features and code quality improvements across DaleStudy/leetcode-study. Implemented unique-triplet handling for 3Sum, a robust Valid Palindrome checker with input normalization, and recursive solutions for core data-structure problems. Added multiple approaches for Find Minimum in Rotated Sorted Array, DFS-based Word Search in a 2D grid, and Group Anagrams to enhance problem-solving templates. A cosmetic formatting fix in jangwonyoon.js was also applied to improve code consistency and readability. These efforts improved correctness, performance readiness, and maintainability, directly supporting interview-prep workflows and scalable problem-solving templates.
August 2025
9 Commits • 7 Features
Aug 1, 2025August 2025: Delivered a series of algorithmic features and code quality improvements across DaleStudy/leetcode-study. Implemented unique-triplet handling for 3Sum, a robust Valid Palindrome checker with input normalization, and recursive solutions for core data-structure problems. Added multiple approaches for Find Minimum in Rotated Sorted Array, DFS-based Word Search in a 2D grid, and Group Anagrams to enhance problem-solving templates. A cosmetic formatting fix in jangwonyoon.js was also applied to improve code consistency and readability. These efforts improved correctness, performance readiness, and maintainability, directly supporting interview-prep workflows and scalable problem-solving templates.
July 2025
14 Commits • 9 Features
Jul 1, 2025July 2025—DaleStudy/leetcode-study: Delivered a focused set of efficient algorithm implementations with strong emphasis on correctness, performance, and maintainability. Key business value: faster problem-solving templates, reusable utilities, and higher code quality to accelerate learning and interview prep. Highlights include implementing core LeetCode patterns with clear edge-case handling and accompanying documentation, enabling quicker decision-making in interviews and teaching scenarios.
14 Commits • 9 Features
Jul 1, 2025July 2025—DaleStudy/leetcode-study: Delivered a focused set of efficient algorithm implementations with strong emphasis on correctness, performance, and maintainability. Key business value: faster problem-solving templates, reusable utilities, and higher code quality to accelerate learning and interview prep. Highlights include implementing core LeetCode patterns with clear edge-case handling and accompanying documentation, enabling quicker decision-making in interviews and teaching scenarios.
July 2025
Activity
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Quality Metrics
Correctness96.8%
Maintainability94.4%
Architecture87.2%
Performance86.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBacktrackingBinary SearchBinary Search Tree (BST)Code FormattingData StructuresDepth-First Search (DFS)Dynamic ProgrammingHash MapHash TableJavaScriptLinked ListsLinting
Repositories Contributed To
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