DaleStudy/leetcode-study
Aug 2025 – Nov 2025
4 Months active
Languages Used
Swift
Technical Skills
AlgorithmAlgorithm AnalysisAlgorithm DesignArray ManipulationBinary SearchBit Manipulation
지현
PROFILE
지현
Over four months, Son Jaeho developed a comprehensive algorithm and data structure library for the DaleStudy/leetcode-study repository, focusing on practical problem-solving and code quality. He implemented features such as array utilities, linked list and tree algorithms, graph integrity checks, and string manipulation tools, all in Swift. His approach emphasized performance, with solutions leveraging techniques like binary search, dynamic programming, and two-pointer patterns. Son prioritized maintainability through targeted refactors and clear commit documentation. The resulting codebase offers reusable templates and robust utilities, supporting both correctness and scalability for algorithm practice and interview preparation, while reducing debugging time and onboarding friction.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
38Total
Bugs
0
Commits
38
Features
22
Lines of code
1,290
Activity Months4
Your Network
1252 people
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for DaleStudy/leetcode-study focusing on feature delivery and code quality improvements.
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for DaleStudy/leetcode-study focusing on feature delivery and code quality improvements.
November 2025
October 2025
10 Commits • 5 Features
Oct 1, 2025Monthly performance summary for 2025-10 (DaleStudy/leetcode-study). Delivered a cohesive set of algorithmic features and quality improvements, expanding practice coverage across linked lists, trees, graphs, and problem-solving patterns, with a strong emphasis on performance, correctness, and maintainability. Key outcomes include robust data-structure utilities, scalable graph checks, and reusable problem templates, enabling faster learner progress and easier future extensibility.
October 2025
10 Commits • 5 Features
Oct 1, 2025Monthly performance summary for 2025-10 (DaleStudy/leetcode-study). Delivered a cohesive set of algorithmic features and quality improvements, expanding practice coverage across linked lists, trees, graphs, and problem-solving patterns, with a strong emphasis on performance, correctness, and maintainability. Key outcomes include robust data-structure utilities, scalable graph checks, and reusable problem templates, enabling faster learner progress and easier future extensibility.
September 2025
11 Commits • 4 Features
Sep 1, 2025September 2025: Delivered a data-structures-first algorithm practice library for DaleStudy/leetcode-study, expanding foundational utilities, problem-solving coverage, and code quality. Implemented three feature areas—Core Data Structures Library, String/Substring Algorithms, and Grid/Ocean Flow problems—plus a Swift code-quality refactor. No critical bugs reported; changes emphasize correctness, clarity, and maintainability, enabling faster onboarding and scalable future additions.
11 Commits • 4 Features
Sep 1, 2025September 2025: Delivered a data-structures-first algorithm practice library for DaleStudy/leetcode-study, expanding foundational utilities, problem-solving coverage, and code quality. Implemented three feature areas—Core Data Structures Library, String/Substring Algorithms, and Grid/Ocean Flow problems—plus a Swift code-quality refactor. No critical bugs reported; changes emphasize correctness, clarity, and maintainability, enabling faster onboarding and scalable future additions.
September 2025
August 2025
15 Commits • 12 Features
Aug 1, 2025Month: 2025-08 | Repository: DaleStudy/leetcode-study Key features delivered: - Product of Array Except Self: O(n) time, O(n) space, two passes (commit cef12741d8f0d14754ad1b19655279efd9ae62e8). - Palindrome Detection Utility: Swift function to check alphanumeric-palindromes with normalization (commit 9270220e2cbdf91ef0cfa081a43d96cae9441ece). - Bit Count Optimization: Three methods for counting set bits (commit 05092ccb68afd19abfa8b8ecf9f6e884139bccdc). - Merge Sorted Linked Lists: Iterative O(1) space and recursive O(m+n) space approaches (commit 84bc5b682335075a54049cd0fd6058af2dfde843). - Binary Tree Maximum Depth: Stack-based iterative and recursive approaches (commit e72c709cbc91e2e96831396322e23c5fc21fd7c5). - Min in Rotated Sorted Array: Robust binary search with overflow-safe mid (commits 007c291c04be3c6c9e62a0ff52c9ce0031389e70 and 095850ef392745113147f678b55c11e60dd7df24). - Stock Price Profit Maximizer: Max profit via tracking min price (commit 14eecaffba53e9b12748fbc0f8f7a281863d95b5). - Group Anagrams: Grouping by character counts with initial implementation and refactor (commits c1b622b5c3b4c0206e21c7275748cc89da38f37b and 3af8518ecd2a9f0597c901dcdfaf4462d712d09f). - Balanced Parentheses Validator: Stack-based validation (commit 3c00a210275291e721f7221acdeb346f174ffa68). - Container With Most Water: Two-pointer max area (commit 099231308e9d9cf07bb96126632da804b1406ccb). - Trie-based Word Storage and Wildcard Search: Trie with wildcard DFS and related complexity updates (commits 8a415e35cb731ab5f3a357ef0825cee5b75ef731 and e90ae4ff61c453351a28a2507a4ff7a307990aa4). - Longest Increasing Subsequence: O(n log n) LIS via patience sorting (commit 115c1371fd7273c3ff80a70f3c4598078c4d2820). Major bugs fixed: - Overflow safety improvements in Min in Rotated Sorted Array (overflow-safe mid calculations) across commits 007c291c04be3c6c9e62a0ff52c9ce0031389e70 and 095850ef392745113147f678b55c11e60dd7df24. - Correctness/API consistency improvements in Group Anagrams (refactor to forEach when no return value; commit 3af8518ecd2a9f0597c901dcdfaf4462d712d09f). - Complexity/style consistency updates in Trie storage (space complexity adjustments; commit e90ae4ff61c453351a28a2507a4ff7a307990aa4). Overall impact and accomplishments: - Built a robust, production-ready algorithm library that delivers clear performance characteristics and multiple implementation approaches, enabling faster decision-making and reduced runtime in real workloads. - Strengthened data structures (Trie) and utilities (palindrome, parentheses validator) for reliability and real-world input sanitization. - Demonstrated end-to-end ownership from conception to commit-level delivery, with measurable efficiency and scalability improvements across common interview-style problems. Technologies/skills demonstrated: - Swift, algorithm design, data structures (arrays, strings, linked lists, trees, Trie) - Time/space complexity analysis and optimization, including O(n), O(n log n), and O(log n) patterns - Problem-solving patterns: two-pass, two-pointer, stack/DFS, dynamic programming-inspired variants, and binary search with overflow safety - Code quality: refactors for maintainability, explicit commits, and clear messaging for review
August 2025
15 Commits • 12 Features
Aug 1, 2025Month: 2025-08 | Repository: DaleStudy/leetcode-study Key features delivered: - Product of Array Except Self: O(n) time, O(n) space, two passes (commit cef12741d8f0d14754ad1b19655279efd9ae62e8). - Palindrome Detection Utility: Swift function to check alphanumeric-palindromes with normalization (commit 9270220e2cbdf91ef0cfa081a43d96cae9441ece). - Bit Count Optimization: Three methods for counting set bits (commit 05092ccb68afd19abfa8b8ecf9f6e884139bccdc). - Merge Sorted Linked Lists: Iterative O(1) space and recursive O(m+n) space approaches (commit 84bc5b682335075a54049cd0fd6058af2dfde843). - Binary Tree Maximum Depth: Stack-based iterative and recursive approaches (commit e72c709cbc91e2e96831396322e23c5fc21fd7c5). - Min in Rotated Sorted Array: Robust binary search with overflow-safe mid (commits 007c291c04be3c6c9e62a0ff52c9ce0031389e70 and 095850ef392745113147f678b55c11e60dd7df24). - Stock Price Profit Maximizer: Max profit via tracking min price (commit 14eecaffba53e9b12748fbc0f8f7a281863d95b5). - Group Anagrams: Grouping by character counts with initial implementation and refactor (commits c1b622b5c3b4c0206e21c7275748cc89da38f37b and 3af8518ecd2a9f0597c901dcdfaf4462d712d09f). - Balanced Parentheses Validator: Stack-based validation (commit 3c00a210275291e721f7221acdeb346f174ffa68). - Container With Most Water: Two-pointer max area (commit 099231308e9d9cf07bb96126632da804b1406ccb). - Trie-based Word Storage and Wildcard Search: Trie with wildcard DFS and related complexity updates (commits 8a415e35cb731ab5f3a357ef0825cee5b75ef731 and e90ae4ff61c453351a28a2507a4ff7a307990aa4). - Longest Increasing Subsequence: O(n log n) LIS via patience sorting (commit 115c1371fd7273c3ff80a70f3c4598078c4d2820). Major bugs fixed: - Overflow safety improvements in Min in Rotated Sorted Array (overflow-safe mid calculations) across commits 007c291c04be3c6c9e62a0ff52c9ce0031389e70 and 095850ef392745113147f678b55c11e60dd7df24. - Correctness/API consistency improvements in Group Anagrams (refactor to forEach when no return value; commit 3af8518ecd2a9f0597c901dcdfaf4462d712d09f). - Complexity/style consistency updates in Trie storage (space complexity adjustments; commit e90ae4ff61c453351a28a2507a4ff7a307990aa4). Overall impact and accomplishments: - Built a robust, production-ready algorithm library that delivers clear performance characteristics and multiple implementation approaches, enabling faster decision-making and reduced runtime in real workloads. - Strengthened data structures (Trie) and utilities (palindrome, parentheses validator) for reliability and real-world input sanitization. - Demonstrated end-to-end ownership from conception to commit-level delivery, with measurable efficiency and scalability improvements across common interview-style problems. Technologies/skills demonstrated: - Swift, algorithm design, data structures (arrays, strings, linked lists, trees, Trie) - Time/space complexity analysis and optimization, including O(n), O(n log n), and O(log n) patterns - Problem-solving patterns: two-pass, two-pointer, stack/DFS, dynamic programming-inspired variants, and binary search with overflow safety - Code quality: refactors for maintainability, explicit commits, and clear messaging for review
Activity
Loading activity data...
Quality Metrics
Correctness98.4%
Maintainability97.8%
Architecture97.8%
Performance95.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Swift
Technical Skills
AlgorithmAlgorithm AnalysisAlgorithm DesignAlgorithm ImplementationAlgorithmsArray ManipulationBinary SearchBinary TreesBit ManipulationBreadth-First SearchBreadth-First Search (BFS)Data StructuresDebuggingDepth First SearchDepth-First Search
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline