DaleStudy/leetcode-study
Dec 2024 – Apr 2025
5 Months active
Languages Used
JavaScript
Technical Skills
AlgorithmAlgorithm OptimizationData StructuresDynamic ProgrammingRecursionSorting
anniemon
PROFILE
Anniemon
Over five months, Seojung contributed a suite of algorithmic utilities and data structure solutions to the DaleStudy/leetcode-study repository, focusing on reusable, well-documented code. Seojung implemented features such as a Trie with wildcard search, dynamic programming templates for problems like House Robber and Longest Common Subsequence, and efficient array and tree manipulation utilities. Using JavaScript and leveraging skills in recursion, sorting, and binary search trees, Seojung emphasized performance by optimizing for linear or near-linear time complexity. The work demonstrated depth through clear complexity analysis, robust commit traceability, and practical solutions that support both learning and efficient problem-solving workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
23Total
Bugs
0
Commits
23
Features
13
Lines of code
656
Activity Months5
Your Network
251 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (DaleStudy/leetcode-study) achieved practical DP solutions with memory- and time-efficient patterns. Delivered two features: House Robber (constant-space DP) and Product of Array Except Self (prefix/suffix, O(n) time, O(n) space). No major bugs fixed were recorded for this month. These contributions strengthen the repository’s value for learning and future problem solving by providing reusable templates and clear commit examples.
2 Commits • 1 Features
Apr 1, 2025April 2025 (DaleStudy/leetcode-study) achieved practical DP solutions with memory- and time-efficient patterns. Delivered two features: House Robber (constant-space DP) and Product of Array Except Self (prefix/suffix, O(n) time, O(n) space). No major bugs fixed were recorded for this month. These contributions strengthen the repository’s value for learning and future problem solving by providing reusable templates and clear commit examples.
April 2025
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for DaleStudy/leetcode-study: Delivered two new features focused on algorithm practice and scheduling feasibility. Implemented Meeting Schedule Feasibility Checker to determine if a person can attend all meetings by sorting time intervals and detecting overlaps, enabling faster calendar planning and decision-making. Added BST utilities with two capabilities: (1) k-th smallest element in a BST via in-order traversal, and (2) lowest common ancestor using BST properties, strengthening problem-solving templates for interviews and LeetCode practice. No major bugs reported or fixed in this period; code changes are feature-oriented and maintainable. Impact: enhanced tooling for personal scheduling and algorithm practice, improving time efficiency and problem-solving throughput. Skills demonstrated: data structures (BST), algorithms (interval overlap detection, in-order DFS), clean API design, and commit-driven development.
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for DaleStudy/leetcode-study: Delivered two new features focused on algorithm practice and scheduling feasibility. Implemented Meeting Schedule Feasibility Checker to determine if a person can attend all meetings by sorting time intervals and detecting overlaps, enabling faster calendar planning and decision-making. Added BST utilities with two capabilities: (1) k-th smallest element in a BST via in-order traversal, and (2) lowest common ancestor using BST properties, strengthening problem-solving templates for interviews and LeetCode practice. No major bugs reported or fixed in this period; code changes are feature-oriented and maintainable. Impact: enhanced tooling for personal scheduling and algorithm practice, improving time efficiency and problem-solving throughput. Skills demonstrated: data structures (BST), algorithms (interval overlap detection, in-order DFS), clean API design, and commit-driven development.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for DaleStudy/leetcode-study: Delivered two core algorithm utilities with clear documentation and performance analysis, enabling robust string similarity analysis and tree-structure insights. Key features delivered: (1) Longest Common Subsequence Calculator implemented via dynamic programming with a 2D DP table and accompanying complexity explanation (O(m*n) time and space). (2) Binary Tree Maximum Depth Calculator using DFS to compute the maximum root-to-leaf path with explicit time/space complexity notes. Commit references included for traceability.
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for DaleStudy/leetcode-study: Delivered two core algorithm utilities with clear documentation and performance analysis, enabling robust string similarity analysis and tree-structure insights. Key features delivered: (1) Longest Common Subsequence Calculator implemented via dynamic programming with a 2D DP table and accompanying complexity explanation (O(m*n) time and space). (2) Binary Tree Maximum Depth Calculator using DFS to compute the maximum root-to-leaf path with explicit time/space complexity notes. Commit references included for traceability.
February 2025
January 2025
9 Commits • 3 Features
Jan 1, 2025Concise monthly summary for January 2025 focusing on key accomplishments, business value, and technical achievements for DaleStudy/leetcode-study.
January 2025
9 Commits • 3 Features
Jan 1, 2025Concise monthly summary for January 2025 focusing on key accomplishments, business value, and technical achievements for DaleStudy/leetcode-study.
December 2024
7 Commits • 5 Features
Dec 1, 2024December 2024 Monthly Summary for DaleStudy/leetcode-study: Focused on delivering core algorithm utilities and performance improvements to accelerate problem-solving workflows and establish reusable components. Highlights include five key features with linear or near-linear time complexities, comprehensive documentation of complexity, and commit traceability for future maintenance. No production bug fixes were required this month; efforts concentrated on robust feature delivery and code quality improvements that enhance business value and developer velocity.
7 Commits • 5 Features
Dec 1, 2024December 2024 Monthly Summary for DaleStudy/leetcode-study: Focused on delivering core algorithm utilities and performance improvements to accelerate problem-solving workflows and establish reusable components. Highlights include five key features with linear or near-linear time complexities, comprehensive documentation of complexity, and commit traceability for future maintenance. No production bug fixes were required this month; efforts concentrated on robust feature delivery and code quality improvements that enhance business value and developer velocity.
December 2024
Activity
Loading activity data...
Quality Metrics
Correctness99.2%
Maintainability97.4%
Architecture96.6%
Performance94.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
AlgorithmAlgorithm OptimizationAlgorithmsArray ManipulationBinary Search TreeBinary Search TreesBit ManipulationData StructuresDepth First SearchDynamic ProgrammingHash MapJavaScriptLinked ListsRecursionSorting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline