DaleStudy/leetcode-study
Mar 2026 – Mar 2026
1 Month active
Languages Used
JavaScript
Technical Skills
JavaScriptalgorithm designalgorithm developmentdata structuresdynamic programmingproblem solving
robin
PROFILE
Robin
Robin developed the Core Algorithmic Utilities Library for the DaleStudy/leetcode-study repository, delivering a foundational toolkit for array and string processing. Over the course of one month, Robin implemented six core algorithms, including solutions for duplicate detection, two-sum, house robber dynamic programming, longest consecutive sequence, top-k frequent elements, and anagram validation. The work emphasized reusable code organization and consistent API design, enabling future extension and rapid prototyping. Using JavaScript and leveraging skills in algorithm design and data structures, Robin established a cohesive, ready-to-extend library that supports scalable experimentation and accelerates LeetCode practice for ongoing and future development needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
128
Activity Months1
Your Network
289 peopleWork History
March 2026
6 Commits • 1 Features
Mar 1, 2026March 2026: Completed the Core Algorithmic Utilities Library as the foundation for array and string processing in DaleStudy/leetcode-study. Implemented six core algorithms across six commits: contains-duplicate, two sum solution, Solution: House-robber, Solution: Longest-consecutive-sequence, Solution: top-k-frequent-elements, valid-anagram solution. This work provides a reusable, well-structured toolkit to accelerate LeetCode practice and future feature work. Key deliverables include a cohesive library layout, consistent coding patterns, and ready-to-extend utilities for performance and correctness. This lays groundwork for scalable algorithm experimentation and rapid prototyping.
6 Commits • 1 Features
Mar 1, 2026March 2026: Completed the Core Algorithmic Utilities Library as the foundation for array and string processing in DaleStudy/leetcode-study. Implemented six core algorithms across six commits: contains-duplicate, two sum solution, Solution: House-robber, Solution: Longest-consecutive-sequence, Solution: top-k-frequent-elements, valid-anagram solution. This work provides a reusable, well-structured toolkit to accelerate LeetCode practice and future feature work. Key deliverables include a cohesive library layout, consistent coding patterns, and ready-to-extend utilities for performance and correctness. This lays groundwork for scalable algorithm experimentation and rapid prototyping.
March 2026
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
JavaScriptalgorithm designalgorithm developmentdata structuresdynamic programmingproblem solving
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