DaleStudy/leetcode-study
Nov 2025 – Feb 2026
4 Months active
Languages Used
PythonJava
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentbinary treesdata structures
doh6077
PROFILE
Doh6077
Over four months, Kim Dohee contributed to the DaleStudy/leetcode-study repository by developing 39 algorithmic features and addressing code quality through two bug fixes. Kim implemented solutions for a wide range of problems involving arrays, trees, graphs, and linked lists, using Python and Java with a focus on clean code and maintainability. The work emphasized efficient algorithm design, including dynamic programming, recursion, and data structure optimization, while also improving documentation and code formatting. By refactoring interval-check logic and standardizing commit practices, Kim enabled faster onboarding and more reliable benchmarking, demonstrating depth in both problem-solving and engineering best practices.
Overall Statistics
Feature vs Bugs
95%Features
Repository Contributions
54Total
Bugs
2
Commits
54
Features
39
Lines of code
1,077
Activity Months4
Your Network
256 peopleSame Organization
@sheridancollege.ca5
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 - DaleStudy/leetcode-study: Delivered a robust Meeting Availability Validator to determine if a person can attend all meetings by evaluating time intervals and ensuring no overlaps, with a refactor for readability. Implemented via two commits: d51396c19616d94fdacf0d935f783bec212c4185 (Meeting rooms solution) and 360545e6614a31d4e6cb48da9cbe8d5c6771f325 (줄바꿈). This feature reduces scheduling conflicts and provides a scalable baseline for availability checks across calendars.
2 Commits • 1 Features
Feb 1, 2026February 2026 - DaleStudy/leetcode-study: Delivered a robust Meeting Availability Validator to determine if a person can attend all meetings by evaluating time intervals and ensuring no overlaps, with a refactor for readability. Implemented via two commits: d51396c19616d94fdacf0d935f783bec212c4185 (Meeting rooms solution) and 360545e6614a31d4e6cb48da9cbe8d5c6771f325 (줄바꿈). This feature reduces scheduling conflicts and provides a scalable baseline for availability checks across calendars.
February 2026
January 2026
23 Commits • 16 Features
Jan 1, 2026January 2026 — DaleStudy/leetcode-study: Expanded algorithmic problem-solving coverage and improved code quality with a focus on business value. Delivered 12+ LeetCode solutions across linked lists, arrays, trees, graphs, and intervals, complemented by formatting fixes and documentation improvements. These efforts broaden problem coverage, enable faster onboarding, and enhance maintainability and reuse of proven patterns. Key features delivered (examples): 141 Linked List Cycle; Sum of Two Integers; 152 Maximum Product Subarray; Pacific Atlantic Water Flow; 226 Invert Binary Tree; 246 Search in Rotated Sorted Array. Also added 143 Reorder List; 144 Graph Valid Tree; Merge Intervals; Non-overlapping Intervals; 124 Binary Tree Maximum Path Sum; 100 Same Tree; Remove Nth Node From End; and an additional solution plus code quality work. Major bugs fixed: Code formatting improvements including multiple line-break fixes across files to standardize style and prevent diffs; dedicated line-break formatting bug fix to ensure consistent rendering across editors. Also added inline documentation to improve readability for future contributors.
January 2026
23 Commits • 16 Features
Jan 1, 2026January 2026 — DaleStudy/leetcode-study: Expanded algorithmic problem-solving coverage and improved code quality with a focus on business value. Delivered 12+ LeetCode solutions across linked lists, arrays, trees, graphs, and intervals, complemented by formatting fixes and documentation improvements. These efforts broaden problem coverage, enable faster onboarding, and enhance maintainability and reuse of proven patterns. Key features delivered (examples): 141 Linked List Cycle; Sum of Two Integers; 152 Maximum Product Subarray; Pacific Atlantic Water Flow; 226 Invert Binary Tree; 246 Search in Rotated Sorted Array. Also added 143 Reorder List; 144 Graph Valid Tree; Merge Intervals; Non-overlapping Intervals; 124 Binary Tree Maximum Path Sum; 100 Same Tree; Remove Nth Node From End; and an additional solution plus code quality work. Major bugs fixed: Code formatting improvements including multiple line-break fixes across files to standardize style and prevent diffs; dedicated line-break formatting bug fix to ensure consistent rendering across editors. Also added inline documentation to improve readability for future contributors.
December 2025
16 Commits • 11 Features
Dec 1, 2025In December 2025, DaleStudy/leetcode-study delivered 11 algorithmic solutions across trees, strings, arrays, linked lists, dynamic programming, and data structures, with a focus on robust patterns and performance. Code quality improvements were included (time complexity notes and end-of-file formatting) and commits were PR-ready with consistent messaging.
16 Commits • 11 Features
Dec 1, 2025In December 2025, DaleStudy/leetcode-study delivered 11 algorithmic solutions across trees, strings, arrays, linked lists, dynamic programming, and data structures, with a focus on robust patterns and performance. Code quality improvements were included (time complexity notes and end-of-file formatting) and commits were PR-ready with consistent messaging.
December 2025
November 2025
13 Commits • 11 Features
Nov 1, 2025November 2025 (DaleStudy/leetcode-study) focused on delivering a comprehensive set of 11 algorithmic solutions, expanding the repository’s coverage across arrays, strings, trees, DP, and combinatorics. The work emphasized efficient algorithms, code clarity, and testability, strengthening the platform as a practical study and benchmarking resource for learners and contributors.
November 2025
13 Commits • 11 Features
Nov 1, 2025November 2025 (DaleStudy/leetcode-study) focused on delivering a comprehensive set of 11 algorithmic solutions, expanding the repository’s coverage across arrays, strings, trees, DP, and combinatorics. The work emphasized efficient algorithms, code clarity, and testability, strengthening the platform as a practical study and benchmarking resource for learners and contributors.
Activity
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Quality Metrics
Correctness97.4%
Maintainability93.4%
Architecture94.2%
Performance92.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaPython
Technical Skills
JavaPythonPython programmingalgorithm designalgorithm developmentbinary searchbinary treesbreadth-first searchclean codeclean code practicescode refactoringdata encodingdata structuresdepth-first searchdynamic programming
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