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jihyeon

PROFILE

Jihyeon

Rachel contributed to the DaleStudy/leetcode-study repository by developing eight algorithmic utilities focused on analytics and educational use cases. She implemented solutions such as a two-sum solver, maximum subarray sum using Kadane’s algorithm, and a dynamic programming approach for the climbing stairs problem, all in JavaScript and TypeScript. Her work included data validation tools like duplicate detection and an anagram checker, as well as a validator for binary search trees to ensure data integrity. Rachel also standardized file naming conventions to improve maintainability. The depth of her contributions demonstrated strong skills in algorithm design, data structures, and problem solving.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

11Total
Bugs
0
Commits
11
Features
8
Lines of code
146
Activity Months1

Work History

March 2026

11 Commits • 8 Features

Mar 1, 2026

March 2026 monthly summary for DaleStudy/leetcode-study focused on delivering practical algorithmic utilities and data integrity improvements for analytics and education use cases. The team implemented a suite of ready-to-use algorithms, standardized the codebase for maintainability, and enhanced data validation, positioning the project for better performance analytics and onboarding.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaScriptTypeScript

Technical Skills

JavaScriptTypeScriptalgorithm designalgorithm developmentdata structuresdynamic programmingfile managementproblem solving

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DaleStudy/leetcode-study

Mar 2026 Mar 2026
1 Month active

Languages Used

JavaScriptTypeScript

Technical Skills

JavaScriptTypeScriptalgorithm designalgorithm developmentdata structuresdynamic programming