DaleStudy/leetcode-study
Nov 2025 – Dec 2025
2 Months active
Languages Used
JavaScript
Technical Skills
JavaScriptalgorithm developmentdynamic programmingfront end developmentproblem solvingdata structures
Robin Yoon
PROFILE
Robin Yoon
Robin Yoon developed six core algorithmic utilities and addressed two code quality issues over two months in the DaleStudy/leetcode-study repository. He implemented solutions such as an anagram checker, a staircase dynamic programming calculator, a product of array except self function, a stock profit calculator, a parentheses validation utility, and a reverse linked list tool. Using JavaScript, Robin focused on algorithm development, data structures, and dynamic programming, ensuring each feature handled edge cases and promoted code reuse. He also enforced linting standards by fixing formatting errors, which improved maintainability and reduced technical debt, demonstrating a disciplined approach to repository quality.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
6
Lines of code
218
Activity Months2
Your Network
251 people
Work History
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.
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
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.
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.
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.0%
Architecture95.0%
Performance92.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
JavaScriptalgorithm developmentdata structuresdynamic programmingfront end developmentproblem solving
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