DaleStudy/leetcode-study
Nov 2025 – May 2026
5 Months active
Languages Used
JavaScriptC++GoJavaKotlinPythonSwift
Technical Skills
JavaScriptalgorithm developmentdynamic programmingfront end developmentproblem solvingdata structures
Robin Yoon
PROFILE
Robin Yoon
Contributed a robust suite of algorithmic utilities and data structure solutions to the DaleStudy/leetcode-study repository over five months, focusing on practical problem-solving for learners and interview preparation. Developed features such as anagram checkers, dynamic programming calculators, linked list operations, and optimized search algorithms using JavaScript, Python, and C++. Emphasized clean code practices, maintainability, and efficient approaches like sliding windows, hash maps, and bit manipulation. Addressed code quality through linting and documentation, ensuring reusable and scalable implementations. The work demonstrated depth in algorithm design, array manipulation, and dynamic programming, providing a comprehensive toolkit for scalable learning and technical growth.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
28Total
Bugs
2
Commits
28
Features
25
Lines of code
500,162
Activity Months5
Your Network
310 peopleWork History
May 2026
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study: Delivered two targeted features focusing on common algorithm patterns and correctness, with clear traceability to commits. No major bug fixes were tracked this month. Resulting features enhance practical problem-solving utilities for learners and provide solid building blocks for future LeetCode-style challenges, while emphasizing maintainability and code quality.
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study: Delivered two targeted features focusing on common algorithm patterns and correctness, with clear traceability to commits. No major bug fixes were tracked this month. Resulting features enhance practical problem-solving utilities for learners and provide solid building blocks for future LeetCode-style challenges, while emphasizing maintainability and code quality.
May 2026
April 2026
10 Commits • 9 Features
Apr 1, 2026April 2026 performance highlights for DaleStudy/leetcode-study. Delivered a focused set of algorithmic features across the repository, emphasizing correctness, efficiency, and reusability to support interview-prep workflows. No major bug fixes were listed for this period; the emphasis was on feature completion, quality improvements, and documentation. Key outcomes include the introduction of multiple reusable utilities and performance-optimized implementations that strengthen the problem-solving toolkit and accelerate learning and practice workflows, while maintaining clean commit hygiene and inline documentation.
April 2026
10 Commits • 9 Features
Apr 1, 2026April 2026 performance highlights for DaleStudy/leetcode-study. Delivered a focused set of algorithmic features across the repository, emphasizing correctness, efficiency, and reusability to support interview-prep workflows. No major bug fixes were listed for this period; the emphasis was on feature completion, quality improvements, and documentation. Key outcomes include the introduction of multiple reusable utilities and performance-optimized implementations that strengthen the problem-solving toolkit and accelerate learning and practice workflows, while maintaining clean commit hygiene and inline documentation.
March 2026
8 Commits • 8 Features
Mar 1, 2026March 2026 highlights: Implemented a cohesive set of high-value algorithmic features for DaleStudy/leetcode-study with multi-language support and efficient solutions. The work strengthens the problem-solving library, accelerates onboarding and practice workflows, and demonstrates strong algorithmic proficiency across languages. No major bugs were reported this month; stability remained solid while expanding the feature set for scalable learning and testing.
8 Commits • 8 Features
Mar 1, 2026March 2026 highlights: Implemented a cohesive set of high-value algorithmic features for DaleStudy/leetcode-study with multi-language support and efficient solutions. The work strengthens the problem-solving library, accelerates onboarding and practice workflows, and demonstrates strong algorithmic proficiency across languages. No major bugs were reported this month; stability remained solid while expanding the feature set for scalable learning and testing.
March 2026
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 (DaleStudy/leetcode-study) delivered three algorithmic utilities and a code-quality fix, enhancing practical practice scenarios for learners and improving repository maintainability. The changes provide tangible business and technical value by expanding core functionality, enabling efficient reuse across problems, and reducing risk from style violations.
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 (DaleStudy/leetcode-study) delivered three algorithmic utilities and a code-quality fix, enhancing practical practice scenarios for learners and improving repository maintainability. The changes provide tangible business and technical value by expanding core functionality, enabling efficient reuse across problems, and reducing risk from style violations.
November 2025
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study: delivered three core algorithm features and addressed a lint issue, strengthening the repository's practical utility for practice and code quality. Key features: Anagram Checker Utility (checks if two strings are anagrams using sorted character arrays) – commits 0cdd8a87eaaf0e5fa3fa0a124afa35e5360aee6a; Staircase Distinct Ways DP Calculator (dynamic programming solution to count distinct ways to climb n steps) – commit d6578e671b73dd9205a93acb758369c006dc135a; Product of Array Except Self (product of all elements except the current one with zero handling) – commit fa5ed0931897af8728ab4cf00d75b7103bf85043. Bug fix: Lint Fix — Ensure EOF newline to improve formatting and maintainability – commit b79ba0d5122d2d01bcfd5e8c5c69dabc414e4640. Impact: expands practical algorithm toolbox for practice problems, improves code quality and maintainability, enabling faster iteration and reuse across future tasks. Technologies/skills demonstrated: algorithm design (DP), string processing, array manipulation, edge-case handling (zeros), linting and code quality discipline.
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study: delivered three core algorithm features and addressed a lint issue, strengthening the repository's practical utility for practice and code quality. Key features: Anagram Checker Utility (checks if two strings are anagrams using sorted character arrays) – commits 0cdd8a87eaaf0e5fa3fa0a124afa35e5360aee6a; Staircase Distinct Ways DP Calculator (dynamic programming solution to count distinct ways to climb n steps) – commit d6578e671b73dd9205a93acb758369c006dc135a; Product of Array Except Self (product of all elements except the current one with zero handling) – commit fa5ed0931897af8728ab4cf00d75b7103bf85043. Bug fix: Lint Fix — Ensure EOF newline to improve formatting and maintainability – commit b79ba0d5122d2d01bcfd5e8c5c69dabc414e4640. Impact: expands practical algorithm toolbox for practice problems, improves code quality and maintainability, enabling faster iteration and reuse across future tasks. Technologies/skills demonstrated: algorithm design (DP), string processing, array manipulation, edge-case handling (zeros), linting and code quality discipline.
November 2025
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Quality Metrics
Correctness97.2%
Maintainability90.0%
Architecture90.8%
Performance89.4%
AI Usage20.8%
Skills & Technologies
Programming Languages
C++GoJavaJavaScriptKotlinPythonSwift
Technical Skills
JavaScriptalgorithm designalgorithm developmentarray manipulationback end developmentbit manipulationdata structuresdynamic programmingfront end developmentproblem solving
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