DaleStudy/leetcode-study
Mar 2026 – Jun 2026
4 Months active
Languages Used
PythonC++JavaJavaScriptSwiftTypeScript
Technical Skills
Pythonalgorithm designalgorithm developmentbinary treesdata structuresdynamic programming
hyerijung
PROFILE
Hyerijung
Developed and maintained the DaleStudy/leetcode-study repository, delivering a comprehensive suite of algorithmic solutions and data structure implementations over four months. Focused on building reusable libraries and interview-prep tooling, the work included optimized solutions for core problems such as binary trees, dynamic programming, and graph traversal. Leveraged Python and Java to implement features like a word dictionary, matrix manipulation, and linked list operations, while ensuring code quality through formatting standards and CI automation using GitHub Actions. The approach emphasized modularity, maintainability, and traceable commits, resulting in scalable reference implementations that accelerate onboarding and support robust technical learning outcomes.
Overall Statistics
Feature vs Bugs
96%Features
Repository Contributions
61Total
Bugs
1
Commits
61
Features
24
Lines of code
309,950
Activity Months4
Your Network
310 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 | DaleStudy/leetcode-study: Delivered Week 14 and Week 15 LeetCode algorithm solutions and introduced GitHub automation to streamline labeling, linting, and maintenance. Two commits document the week-by-week solution work and automation enhancements.
2 Commits • 1 Features
Jun 1, 2026June 2026 | DaleStudy/leetcode-study: Delivered Week 14 and Week 15 LeetCode algorithm solutions and introduced GitHub automation to streamline labeling, linting, and maintenance. Two commits document the week-by-week solution work and automation enhancements.
June 2026
May 2026
15 Commits • 6 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study focusing on delivering feature-rich algorithmic solutions, strengthening core data structures, and expanding problem-solving coverage across domains. The month emphasized business value through scalable solutions, reusable algorithms, and demonstrable technical proficiency across multiple problem classes.
May 2026
15 Commits • 6 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study focusing on delivering feature-rich algorithmic solutions, strengthening core data structures, and expanding problem-solving coverage across domains. The month emphasized business value through scalable solutions, reusable algorithms, and demonstrable technical proficiency across multiple problem classes.
April 2026
28 Commits • 15 Features
Apr 1, 20262026-04 monthly summary for DaleStudy/leetcode-study: Delivered a broad suite of algorithmic solutions across data structures, DP, graphs, and system patterns. Built a reusable Word Dictionary and String Data Structures package (word break, encode/decode, trie/prefix-tree, add/search) with four commits. Expanded DP, validations, and matrix problem coverage (valid parentheses, LIS, container with most water, spiral matrix, longest substring without repeating characters). Added extensive coverage for grid/graph/linked-list problems (Number of Islands, Number of Islands in a grid, Unique Paths, Set Matrix Zeroes, Longest Common Subsequence, Palindromic Substrings, Longest Repeating Character Replacement, Reverse Bits, Clone Graph, Linked List Cycle, Minimum Window Substring). Included maintenance fixes for code quality (lint fixes and newline-at-end corrections). Overall, these efforts improve readiness for interview-prep tooling and learner outcomes with clear, traceable commits and tangible business value (faster onboarding, reproducible patterns, and robust reference implementations).
28 Commits • 15 Features
Apr 1, 20262026-04 monthly summary for DaleStudy/leetcode-study: Delivered a broad suite of algorithmic solutions across data structures, DP, graphs, and system patterns. Built a reusable Word Dictionary and String Data Structures package (word break, encode/decode, trie/prefix-tree, add/search) with four commits. Expanded DP, validations, and matrix problem coverage (valid parentheses, LIS, container with most water, spiral matrix, longest substring without repeating characters). Added extensive coverage for grid/graph/linked-list problems (Number of Islands, Number of Islands in a grid, Unique Paths, Set Matrix Zeroes, Longest Common Subsequence, Palindromic Substrings, Longest Repeating Character Replacement, Reverse Bits, Clone Graph, Linked List Cycle, Minimum Window Substring). Included maintenance fixes for code quality (lint fixes and newline-at-end corrections). Overall, these efforts improve readiness for interview-prep tooling and learner outcomes with clear, traceable commits and tangible business value (faster onboarding, reproducible patterns, and robust reference implementations).
April 2026
March 2026
16 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for DaleStudy/leetcode-study: Delivered a core Algorithm Practice Library with essential interview problem solutions and implemented code quality improvements to ensure formatting consistency and CI reliability.
March 2026
16 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for DaleStudy/leetcode-study: Delivered a core Algorithm Practice Library with essential interview problem solutions and implemented code quality improvements to ensure formatting consistency and CI reliability.
Activity
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Quality Metrics
Correctness98.4%
Maintainability89.2%
Architecture90.8%
Performance88.6%
AI Usage21.6%
Skills & Technologies
Programming Languages
C++JavaJavaScriptPythonSwiftTypeScript
Technical Skills
AlgorithmsC++Code FormattingData StructuresDevOpsGitHub ActionsJavaJava programmingJavaScriptKotlinMatrix ManipulationPEP 8 CompliancePythonPython programmingRecursion
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