DaleStudy/leetcode-study
Nov 2025 – Nov 2025
1 Month active
Languages Used
Java
Technical Skills
Javaalgorithm designalgorithm developmentdata structuresproblem solving
KAMS
PROFILE
Kams
During November 2025, Amisol Kim contributed to the DaleStudy/leetcode-study repository by developing three core algorithmic features in Java. Kim implemented both brute-force and hash-table solutions for the Two Sum problem, enabling efficient pair detection in arrays. To improve data validation, Kim introduced enhanced duplicate detection using HashSet and sorting approaches, optimizing for O(n) and O(n log n) time complexities. Additionally, Kim refactored string utilities, removing redundant methods and adding an isPalindrome utility to streamline text processing. The work demonstrated strong skills in algorithm design, data structures, and code maintainability, resulting in a cleaner, more extensible codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
110
Activity Months1
Your Network
251 people
Work History
November 2025
4 Commits • 3 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on feature delivery, reliability improvements, and technical growth for DaleStudy/leetcode-study. Delivered core algorithm solutions and refactors to improve performance and maintainability. Highlights include two-sum algorithm implementation, enhanced duplicate detection with O(n) and O(n log n) approaches, and addition of a palindrome utility to support common text processing tasks. While no separate bug fixes are tracked this month, the changes improved correctness, performance, and code quality, enabling faster validation of user submissions and simplifying future enhancements. Technologies showcased include hash-based data structures, time-complexity optimization, and clean refactoring.
4 Commits • 3 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on feature delivery, reliability improvements, and technical growth for DaleStudy/leetcode-study. Delivered core algorithm solutions and refactors to improve performance and maintainability. Highlights include two-sum algorithm implementation, enhanced duplicate detection with O(n) and O(n log n) approaches, and addition of a palindrome utility to support common text processing tasks. While no separate bug fixes are tracked this month, the changes improved correctness, performance, and code quality, enabling faster validation of user submissions and simplifying future enhancements. Technologies showcased include hash-based data structures, time-complexity optimization, and clean refactoring.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Javaalgorithm designalgorithm developmentdata structuresproblem solving
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