DaleStudy/leetcode-study
Mar 2025 – Jul 2025
5 Months active
Languages Used
Python
Technical Skills
AlgorithmCounterData StructuresDynamic ProgrammingHash TableHeap
seungriyou
PROFILE
Seungriyou
Seungri developed a comprehensive library of algorithmic solutions in the DaleStudy/leetcode-study repository, focusing on core data structures, dynamic programming, and graph theory. Over five months, Seungri implemented 48 features, including Trie-based word search, interval scheduling, and streaming data structures, all in Python. The work emphasized modular design, traceable commits, and multiple solution strategies for each problem, such as in-place matrix manipulation and topological sorting for dependency resolution. By consolidating reusable code and optimizing for space and time complexity, Seungri created a maintainable foundation that accelerates interview preparation and supports ongoing technical growth in algorithm design and implementation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
79Total
Bugs
0
Commits
79
Features
48
Lines of code
4,792
Activity Months5
Your Network
251 people
Work History
July 2025
7 Commits • 7 Features
Jul 1, 2025July 2025 performance summary for DaleStudy/leetcode-study: Delivered a set of high-impact algorithmic features and performance improvements across multiple LeetCode-style challenges. The work emphasized business value (efficient problem-solving capabilities, faster iteration, and maintainable code) and technical excellence (data structures, algorithm design, and code quality). Notable features include Trie-based Word Search II solver with pruning, in-place matrix rotation, O(n) binary-tree construction from traversals, dual-path Longest Palindromic Substring approaches, and topological sort-based Alien Dictionary ordering. No major bugs reported; bug-fix activity focused on edge-case robustness within existing implementations. See key achievements for detailed items and corresponding commits.
7 Commits • 7 Features
Jul 1, 2025July 2025 performance summary for DaleStudy/leetcode-study: Delivered a set of high-impact algorithmic features and performance improvements across multiple LeetCode-style challenges. The work emphasized business value (efficient problem-solving capabilities, faster iteration, and maintainable code) and technical excellence (data structures, algorithm design, and code quality). Notable features include Trie-based Word Search II solver with pruning, in-place matrix rotation, O(n) binary-tree construction from traversals, dual-path Longest Palindromic Substring approaches, and topological sort-based Alien Dictionary ordering. No major bugs reported; bug-fix activity focused on edge-case robustness within existing implementations. See key achievements for detailed items and corresponding commits.
July 2025
June 2025
25 Commits • 9 Features
Jun 1, 2025June 2025 — DaleStudy/leetcode-study: Delivered a broad and foundational set of LeetCode solutions across Weeks 10–14, expanding a reusable problem-solving library and strengthening interview-readiness. Implementations span trees, graphs, intervals, dynamic programming, bit manipulation, and streaming data, with 25 commits across multiple modules. Notable work includes Week 10 (Invert Binary Tree, Jump Game, Course Schedule, Search in Rotated Sorted Array, Merge k Sorted Lists), Week 11 (Missing Number, Merge Intervals, Graph Valid Tree, Reorder List, Binary Tree Maximum Path Sum), Week 12 (Same Tree, Number of Connected Components in an Undirected Graph, Non-overlapping Intervals, Remove Nth Node From End of List, Serialize and Deserialize Binary Tree), plus enhancements to Remove Nth Node From End of List, Interval Scheduling utilities (Meeting Rooms, Meeting Rooms II, Insert Interval), Binary Tree & BST Algorithms (LCA in BST, Kth Smallest in BST, Binary Tree Level Order Traversal), Streaming Data Structure (Median Finder), Bit Manipulation (Counting Bits), and Dynamic Programming (House Robber II).
June 2025
25 Commits • 9 Features
Jun 1, 2025June 2025 — DaleStudy/leetcode-study: Delivered a broad and foundational set of LeetCode solutions across Weeks 10–14, expanding a reusable problem-solving library and strengthening interview-readiness. Implementations span trees, graphs, intervals, dynamic programming, bit manipulation, and streaming data, with 25 commits across multiple modules. Notable work includes Week 10 (Invert Binary Tree, Jump Game, Course Schedule, Search in Rotated Sorted Array, Merge k Sorted Lists), Week 11 (Missing Number, Merge Intervals, Graph Valid Tree, Reorder List, Binary Tree Maximum Path Sum), Week 12 (Same Tree, Number of Connected Components in an Undirected Graph, Non-overlapping Intervals, Remove Nth Node From End of List, Serialize and Deserialize Binary Tree), plus enhancements to Remove Nth Node From End of List, Interval Scheduling utilities (Meeting Rooms, Meeting Rooms II, Insert Interval), Binary Tree & BST Algorithms (LCA in BST, Kth Smallest in BST, Binary Tree Level Order Traversal), Streaming Data Structure (Median Finder), Bit Manipulation (Counting Bits), and Dynamic Programming (House Robber II).
May 2025
25 Commits • 14 Features
May 1, 2025May 2025 (DaleStudy/leetcode-study): Focused on building a scalable problem-solving foundation and expanding the codebase of LeetCode solutions. Delivered a set of core data structures, DP patterns, and graph/bit manipulation solutions, increasing readiness for coding interviews and accelerating personal learning. Key contributions include implementing a Trie-based word search data structure, solving Word Break and Encode/Decode Strings, and delivering Week 06–09 problem sets that cover Valid Parentheses, Spiral Matrix, LIS, Container With Most Water, Islands, Reverse Linked List, Unique Paths, Set Matrix Zeroes, Longest Substring Without Repeating Characters, Reverse Bits, Clone Graph, Longest Repeating Character Replacement, Longest Common Subsequence, Palindromic Substrings, Linked List Cycle, Pacific Atlantic Water Flow, Maximum Product Subarray, Sum of Two Integers, and Minimum Window Substring. These efforts strengthen the algorithmic toolkit, enable faster interview prep, and provide a reusable library of solutions for ongoing development and technical performance reviews.
25 Commits • 14 Features
May 1, 2025May 2025 (DaleStudy/leetcode-study): Focused on building a scalable problem-solving foundation and expanding the codebase of LeetCode solutions. Delivered a set of core data structures, DP patterns, and graph/bit manipulation solutions, increasing readiness for coding interviews and accelerating personal learning. Key contributions include implementing a Trie-based word search data structure, solving Word Break and Encode/Decode Strings, and delivering Week 06–09 problem sets that cover Valid Parentheses, Spiral Matrix, LIS, Container With Most Water, Islands, Reverse Linked List, Unique Paths, Set Matrix Zeroes, Longest Substring Without Repeating Characters, Reverse Bits, Clone Graph, Longest Repeating Character Replacement, Longest Common Subsequence, Palindromic Substrings, Linked List Cycle, Pacific Atlantic Water Flow, Maximum Product Subarray, Sum of Two Integers, and Minimum Window Substring. These efforts strengthen the algorithmic toolkit, enable faster interview prep, and provide a reusable library of solutions for ongoing development and technical performance reviews.
May 2025
April 2025
17 Commits • 17 Features
Apr 1, 2025April 2025 — DaleStudy/leetcode-study: Delivered a broad set of algorithmic features with multiple solution approaches, performance-focused implementations, and clean, traceable commits. Strengthened interview prep material and code-review readiness.
April 2025
17 Commits • 17 Features
Apr 1, 2025April 2025 — DaleStudy/leetcode-study: Delivered a broad set of algorithmic features with multiple solution approaches, performance-focused implementations, and clean, traceable commits. Strengthened interview prep material and code-review readiness.
March 2025
5 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered a consolidated set of LeetCode practice solutions in DaleStudy/leetcode-study, focusing on array/hash-based and dynamic programming techniques. Implementations cover Contains Duplicate (two approaches), Two Sum, Top K Frequent Elements, House Robber, and Longest Consecutive Sequence. Each problem is tracked with dedicated commits for traceability, enabling clear at-a-glance progress and review. This work enhances interview readiness, code reuse, and maintainability through modular design and consistent naming.
5 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered a consolidated set of LeetCode practice solutions in DaleStudy/leetcode-study, focusing on array/hash-based and dynamic programming techniques. Implementations cover Contains Duplicate (two approaches), Two Sum, Top K Frequent Elements, House Robber, and Longest Consecutive Sequence. Each problem is tracked with dedicated commits for traceability, enabling clear at-a-glance progress and review. This work enhances interview readiness, code reuse, and maintainability through modular design and consistent naming.
March 2025
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Quality Metrics
Correctness100.0%
Maintainability98.8%
Architecture98.4%
Performance96.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationAlgorithmsArray ManipulationBacktrackingBinary SearchBinary Search TreesBinary TreesBit ManipulationBitwise OperationsBreadth First SearchBreadth First Search (BFS)Breadth-First Search
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