DaleStudy/leetcode-study
Mar 2025 – Jul 2025
3 Months active
Languages Used
Java
Technical Skills
AlgorithmData StructuresAlgorithmsArray ManipulationBacktrackingBinary Search
JEONGBEOM KO
PROFILE
Jeongbeom Ko
Over a three-month period, Beom contributed to the DaleStudy/leetcode-study repository by developing a suite of Java-based algorithm solutions focused on common LeetCode problems. He implemented features such as duplicate number detection in integer arrays using HashSet for O(n) efficiency and a Two Sum solver leveraging HashMap for rapid index retrieval. His work emphasized clean, reusable code patterns and maintainable structure, with attention to edge-case handling and refactoring for clarity. By organizing solutions around core data structures and algorithmic techniques, Beom established a robust foundation for ongoing practice, onboarding, and educational use, demonstrating depth in Java and algorithm design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
23Total
Bugs
0
Commits
23
Features
5
Lines of code
536
Activity Months3
Your Network
251 people
Work History
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 Monthly Summary – DaleStudy/leetcode-study Key features delivered: - Two Sum Problem Solution: Implemented an O(n) solution using a HashMap to return indices, enabling fast lookups for common LeetCode scenarios. Commits: dda994d04647509b1f0b3af517eb1a793b57f021; 0fefe2c6949fb0a01f70d2e5ce53c495e645a015. - Duplicate Detection in Arrays: Java solution using a HashSet to detect duplicates with O(n) time and space, enabling quick data integrity validation for inputs. Commit: 68e6c1345176300549abeb5f45a9c46b0d636266. Major bugs fixed: - None reported this month; focus on delivering robust features and clean code. Overall impact and accomplishments: - Added practical, reusable problem-solving templates that accelerate future LeetCode practice and teaching through clear, well-documented implementations and traceable commits. - Improved the repository's value as a learning resource by providing efficient, battle-tested algorithms that learners can reference and adapt. Technologies/skills demonstrated: - Java, HashMap, HashSet, and standard data structures - O(n) time complexity patterns and clean algorithm design - Clear commit messages and maintainable code organization for educational use
3 Commits • 2 Features
Jul 1, 2025July 2025 Monthly Summary – DaleStudy/leetcode-study Key features delivered: - Two Sum Problem Solution: Implemented an O(n) solution using a HashMap to return indices, enabling fast lookups for common LeetCode scenarios. Commits: dda994d04647509b1f0b3af517eb1a793b57f021; 0fefe2c6949fb0a01f70d2e5ce53c495e645a015. - Duplicate Detection in Arrays: Java solution using a HashSet to detect duplicates with O(n) time and space, enabling quick data integrity validation for inputs. Commit: 68e6c1345176300549abeb5f45a9c46b0d636266. Major bugs fixed: - None reported this month; focus on delivering robust features and clean code. Overall impact and accomplishments: - Added practical, reusable problem-solving templates that accelerate future LeetCode practice and teaching through clear, well-documented implementations and traceable commits. - Improved the repository's value as a learning resource by providing efficient, battle-tested algorithms that learners can reference and adapt. Technologies/skills demonstrated: - Java, HashMap, HashSet, and standard data structures - O(n) time complexity patterns and clean algorithm design - Clear commit messages and maintainable code organization for educational use
July 2025
April 2025
19 Commits • 2 Features
Apr 1, 2025April 2025 saw the delivery of a robust Java LeetCode practice library in DaleStudy/leetcode-study. Key features include a broad set of algorithm solutions (Two Sum, Top K Frequent Elements, Valid Anagram, Climbing Stairs, 3Sum, Word Search, Coin Change, and more) implemented with clean, reusable patterns. In addition, codebase hygiene and refactoring improved maintainability across solution files, packaging, and visibility. The combined effort delivered a solid base for future problem additions and learner onboarding. Technologies demonstrated include Java, algorithm design, data structures, and refactoring best practices.
April 2025
19 Commits • 2 Features
Apr 1, 2025April 2025 saw the delivery of a robust Java LeetCode practice library in DaleStudy/leetcode-study. Key features include a broad set of algorithm solutions (Two Sum, Top K Frequent Elements, Valid Anagram, Climbing Stairs, 3Sum, Word Search, Coin Change, and more) implemented with clean, reusable patterns. In addition, codebase hygiene and refactoring improved maintainability across solution files, packaging, and visibility. The combined effort delivered a solid base for future problem additions and learner onboarding. Technologies demonstrated include Java, algorithm design, data structures, and refactoring best practices.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (DaleStudy/leetcode-study): Delivered a Java-based duplicate-number detector for integer arrays using a HashSet. The function scans the array in a single pass and returns true upon encountering a duplicate; if no duplicates are found, it returns false after full iteration. This enhances data validation and problem-solving workflows for LeetCode-style exercises, providing a clear, readable implementation with a solid foundation for future test coverage.
1 Commits • 1 Features
Mar 1, 2025March 2025 (DaleStudy/leetcode-study): Delivered a Java-based duplicate-number detector for integer arrays using a HashSet. The function scans the array in a single pass and returns true upon encountering a duplicate; if no duplicates are found, it returns false after full iteration. This enhances data validation and problem-solving workflows for LeetCode-style exercises, providing a clear, readable implementation with a solid foundation for future test coverage.
March 2025
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Quality Metrics
Correctness99.0%
Maintainability95.6%
Architecture94.8%
Performance95.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithmsArray ManipulationBacktrackingBinary SearchData StructuresDepth First SearchDynamic ProgrammingHashMapLinked ListsRecursionRefactoringSortingString ManipulationTree Traversal
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