DaleStudy/leetcode-study
Nov 2025 – Dec 2025
2 Months active
Languages Used
JavaScript
Technical Skills
JavaScriptalgorithm developmentdata structuresdynamic programmingproblem solvingalgorithm design
prgmr99
PROFILE
Prgmr99
John Yeom developed a centralized Algorithmic Problem Solutions Library for the DaleStudy/leetcode-study repository, focusing on consolidating classic algorithmic challenges into reusable JavaScript modules. Over two months, he implemented solutions for problems such as Two Sum, merging sorted linked lists, binary tree depth calculation, and coin change, applying techniques like dynamic programming, recursion, binary search, and depth-first search. Each solution was linked to dedicated commits for traceability and maintainability. John’s work emphasized code quality, modularity, and onboarding efficiency, resulting in a robust toolkit that streamlines interview preparation and problem-solving workflows while demonstrating depth in algorithm design and data structures.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
6
Lines of code
314
Activity Months2
Your Network
1252 people
Work History
December 2025
5 Commits • 5 Features
Dec 1, 2025December 2025 — DaleStudy/leetcode-study: Delivered five feature implementations that expand problem-solving capabilities and interview-readiness. Features delivered include merging two sorted linked lists, binary tree maximum depth, find minimum in rotated sorted array, word search on a 2D board, and coin change DP. Commits span: e6b3586c4aa68a9d4cbe4187166e8a885b589599; 87f6b5ad04c9cad8801b52af37ef0297c9fd52c7; ecfc1a1a69ee46c96426ed4df90d90c1e72a0994; db8d8ebab7c5e4ea10d2ce8feeca3b6c9a1ec80a; 212a68d096aef27beab80655edbf709d12fc84b7. These changes enhance data-structure manipulation, tree analysis, search optimizations, and dynamic programming capabilities. No major bugs reported this month; debugging focused on feature validation and code quality. Overall impact: strengthened the repository’s algorithm toolkit, enabling faster, more reliable problem solving and reusable utilities for interview prep. Technologies/skills demonstrated: recursion, binary search, depth-first search, dynamic programming, memory management for visited states, and clear commit hygiene.
5 Commits • 5 Features
Dec 1, 2025December 2025 — DaleStudy/leetcode-study: Delivered five feature implementations that expand problem-solving capabilities and interview-readiness. Features delivered include merging two sorted linked lists, binary tree maximum depth, find minimum in rotated sorted array, word search on a 2D board, and coin change DP. Commits span: e6b3586c4aa68a9d4cbe4187166e8a885b589599; 87f6b5ad04c9cad8801b52af37ef0297c9fd52c7; ecfc1a1a69ee46c96426ed4df90d90c1e72a0994; db8d8ebab7c5e4ea10d2ce8feeca3b6c9a1ec80a; 212a68d096aef27beab80655edbf709d12fc84b7. These changes enhance data-structure manipulation, tree analysis, search optimizations, and dynamic programming capabilities. No major bugs reported this month; debugging focused on feature validation and code quality. Overall impact: strengthened the repository’s algorithm toolkit, enabling faster, more reliable problem solving and reusable utilities for interview prep. Technologies/skills demonstrated: recursion, binary search, depth-first search, dynamic programming, memory management for visited states, and clear commit hygiene.
December 2025
November 2025
7 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on delivering a centralized Algorithmic Problem Solutions Library in DaleStudy/leetcode-study, consolidating seven classic algorithmic problems with memoization and ready-for-use implementations. No major bugs fixed this period; primary work centered on feature delivery, code quality, and traceability.
November 2025
7 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on delivering a centralized Algorithmic Problem Solutions Library in DaleStudy/leetcode-study, consolidating seven classic algorithmic problems with memoization and ready-for-use implementations. No major bugs fixed this period; primary work centered on feature delivery, code quality, and traceability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability96.8%
Architecture96.8%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
JavaScriptalgorithm designalgorithm developmentbinary searchdata structuresdepth-first searchdynamic programmingproblem solvingrecursion
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