DaleStudy/leetcode-study
Nov 2025 – Jun 2026
8 Months active
Languages Used
TypeScriptJavaC++GoJavaScriptKotlinPythonSwift
Technical Skills
TypeScriptalgorithm designalgorithm developmentbit manipulationdata structuresdepth-first search
juhui
PROFILE
Juhui
Over eight months, contributed to DaleStudy/leetcode-study by building a comprehensive algorithmic solutions library focused on interview preparation and problem-solving efficiency. Developed and optimized features such as array and string utilities, linked list and binary tree algorithms, and scheduling tools, emphasizing clean code, modular design, and maintainability. Leveraged Java and TypeScript to implement solutions for challenges like duplicate detection, tree inversion, interval merging, and recursive bit counting, often improving time and space complexity. Maintained disciplined commit hygiene, enhanced documentation, and performed code quality cleanups, resulting in a robust, reusable codebase that accelerates onboarding and supports scalable learning for developers.
Overall Statistics
Feature vs Bugs
95%Features
Repository Contributions
38Total
Bugs
1
Commits
38
Features
18
Lines of code
246,306
Activity Months8
Your Network
310 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026Monthly summary for 2026-06: DaleStudy/leetcode-study focused on delivering a feature update and improving maintainability. Key delivery centered on updating the Counting Bits solution to a recursive approach with accompanying documentation. Code cleanup was performed by removing legacy commented-out code to reduce technical debt and improve readability. No major bugs were reported or fixed this month; the work emphasized robustness through clearer implementation and better contributor onboarding. Overall impact: clearer algorithm, more maintainable codebase, and better visibility into performance characteristics. Technologies/skills demonstrated include recursion, algorithm refactor, documentation practices, and disciplined commit hygiene.
1 Commits • 1 Features
Jun 1, 2026Monthly summary for 2026-06: DaleStudy/leetcode-study focused on delivering a feature update and improving maintainability. Key delivery centered on updating the Counting Bits solution to a recursive approach with accompanying documentation. Code cleanup was performed by removing legacy commented-out code to reduce technical debt and improve readability. No major bugs were reported or fixed this month; the work emphasized robustness through clearer implementation and better contributor onboarding. Overall impact: clearer algorithm, more maintainable codebase, and better visibility into performance characteristics. Technologies/skills demonstrated include recursion, algorithm refactor, documentation practices, and disciplined commit hygiene.
June 2026
May 2026
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study. Focused on delivering practical algorithmic solutions and performance improvements to enhance the learning platform's value and scalability.
May 2026
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DaleStudy/leetcode-study. Focused on delivering practical algorithmic solutions and performance improvements to enhance the learning platform's value and scalability.
April 2026
4 Commits • 4 Features
Apr 1, 2026April 2026 monthly summary for DaleStudy/leetcode-study: Delivered four high-impact algorithm features with notable performance gains and robust correctness checks. No major bugs fixed reported this period. The work strengthens interview readiness, accelerates problem-solving, and improves code quality and maintainability, leveraging hashmap-based grouping, single-pass optimization, and linked-list operations. Technologies/skills demonstrated include time/space optimization, data structures (hashmaps, stacks), and commit-driven development.
4 Commits • 4 Features
Apr 1, 2026April 2026 monthly summary for DaleStudy/leetcode-study: Delivered four high-impact algorithm features with notable performance gains and robust correctness checks. No major bugs fixed reported this period. The work strengthens interview readiness, accelerates problem-solving, and improves code quality and maintainability, leveraging hashmap-based grouping, single-pass optimization, and linked-list operations. Technologies/skills demonstrated include time/space optimization, data structures (hashmaps, stacks), and commit-driven development.
April 2026
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for DaleStudy/leetcode-study: Expanded the problem-solving library with multiple array and string algorithm solutions, including duplicate detection using HashSet, Two Sum solver, top-K frequent elements finder, longest consecutive sequence length, plus climbing stairs and valid anagram. Delivered across five commits (WEEK 1 Solutions x4, WEEK 2 Solutions), demonstrating steady weekly delivery and code-review readiness. No major bugs documented; focus was on feature expansion, performance improvements, and maintainability. Overall impact: enhanced library usability for practice and interview prep, enabling faster problem solving and improved reuse. Technologies/skills: algorithms design, data structures (HashSet), performance-oriented coding, modularization, Git versioning and sprint-based development.
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for DaleStudy/leetcode-study: Expanded the problem-solving library with multiple array and string algorithm solutions, including duplicate detection using HashSet, Two Sum solver, top-K frequent elements finder, longest consecutive sequence length, plus climbing stairs and valid anagram. Delivered across five commits (WEEK 1 Solutions x4, WEEK 2 Solutions), demonstrating steady weekly delivery and code-review readiness. No major bugs documented; focus was on feature expansion, performance improvements, and maintainability. Overall impact: enhanced library usability for practice and interview prep, enabling faster problem solving and improved reuse. Technologies/skills: algorithms design, data structures (HashSet), performance-oriented coding, modularization, Git versioning and sprint-based development.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for DaleStudy/leetcode-study. Focused on expanding the algorithmic toolkit and scheduling utilities. Delivered core features in the Algorithmic Solutions Library, notably LCA in BST and a Meeting Feasibility checker, with commit c5e2c82915d2fcd81287843f6b973077646ff896. No major bugs reported this month. Impact includes enabling scalable tree-query operations and automated attendance feasibility checks, reducing manual reasoning and speeding up problem-solving workflows. Skills demonstrated include data structures (BST), algorithm design, and creating clean, reusable interfaces for future LeetCode study features and scheduling tools.
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for DaleStudy/leetcode-study. Focused on expanding the algorithmic toolkit and scheduling utilities. Delivered core features in the Algorithmic Solutions Library, notably LCA in BST and a Meeting Feasibility checker, with commit c5e2c82915d2fcd81287843f6b973077646ff896. No major bugs reported this month. Impact includes enabling scalable tree-query operations and automated attendance feasibility checks, reducing manual reasoning and speeding up problem-solving workflows. Skills demonstrated include data structures (BST), algorithm design, and creating clean, reusable interfaces for future LeetCode study features and scheduling tools.
February 2026
January 2026
13 Commits • 5 Features
Jan 1, 2026January 2026: Delivered a comprehensive set of algorithmic solutions and quality improvements in DaleStudy/leetcode-study. New features span core data structures and common interview problems, including Character Replacement and Bit Reversal, Linked List operations (cycle detection, removal of nth node from end, and reorder), Binary Tree inversion and same-tree checks, Interval merging and greedy non-overlapping selection, and Missing Number in Array (arithmetic-sum and sorting-based). In addition, a dedicated code quality cleanup improved readability and maintainability (newline at EOF, formatting tweaks, and file renames). The work provides clear traceability to Weeks 8–12 milestones and strengthens the repository as a reliable interview-prep resource for developers.
January 2026
13 Commits • 5 Features
Jan 1, 2026January 2026: Delivered a comprehensive set of algorithmic solutions and quality improvements in DaleStudy/leetcode-study. New features span core data structures and common interview problems, including Character Replacement and Bit Reversal, Linked List operations (cycle detection, removal of nth node from end, and reorder), Binary Tree inversion and same-tree checks, Interval merging and greedy non-overlapping selection, and Missing Number in Array (arithmetic-sum and sorting-based). In addition, a dedicated code quality cleanup improved readability and maintainability (newline at EOF, formatting tweaks, and file renames). The work provides clear traceability to Weeks 8–12 milestones and strengthens the repository as a reliable interview-prep resource for developers.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 Monthly Summary for DaleStudy/leetcode-study: Delivered a reusable Algorithmic Problem Solving Library with three new solutions: Water Container max area, Word Dictionary add/search, and Parentheses Validation. This feature set provides reusable algorithms and data structures for interview prep, enabling faster problem solving and scalable onboarding. Maintained code quality with a focused Week 06 solution commit (a155a5cdf3379c872a904d8ec3a116aff477f0a6). No major bugs fixed this month. Impact: strengthened the repository with a cohesive problem-solving toolkit, enabling rapid iteration and expansion. Technologies/Skills demonstrated include two-pointer technique, stack-based validation, and a Trie-like dictionary implementation; demonstrated modular design and incremental delivery.
1 Commits • 1 Features
Dec 1, 2025December 2025 Monthly Summary for DaleStudy/leetcode-study: Delivered a reusable Algorithmic Problem Solving Library with three new solutions: Water Container max area, Word Dictionary add/search, and Parentheses Validation. This feature set provides reusable algorithms and data structures for interview prep, enabling faster problem solving and scalable onboarding. Maintained code quality with a focused Week 06 solution commit (a155a5cdf3379c872a904d8ec3a116aff477f0a6). No major bugs fixed this month. Impact: strengthened the repository with a cohesive problem-solving toolkit, enabling rapid iteration and expansion. Technologies/Skills demonstrated include two-pointer technique, stack-based validation, and a Trie-like dictionary implementation; demonstrated modular design and incremental delivery.
December 2025
November 2025
8 Commits • 3 Features
Nov 1, 2025Monthly Summary for 2025-11: Delivered core utilities in DaleStudy/leetcode-study to bolster data integrity, performance, and mathematical modeling. Implemented Input Validation and Content Verification Utilities, Fast Analytics and Array Processing Utilities, and Dynamic Programming/Math Computation Utilities. These changes enable reliable data pipelines, faster analytics, and scalable modeling for content-based features.
November 2025
8 Commits • 3 Features
Nov 1, 2025Monthly Summary for 2025-11: Delivered core utilities in DaleStudy/leetcode-study to bolster data integrity, performance, and mathematical modeling. Implemented Input Validation and Content Verification Utilities, Fast Analytics and Array Processing Utilities, and Dynamic Programming/Math Computation Utilities. These changes enable reliable data pipelines, faster analytics, and scalable modeling for content-based features.
Activity
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Quality Metrics
Correctness98.4%
Maintainability89.4%
Architecture90.6%
Performance91.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
C++GoJavaJavaScriptKotlinPythonSwiftTypeScript
Technical Skills
AlgorithmsCode FormattingCode QualityJavaJava programmingRecursionTypeScriptalgorithm designalgorithm developmentback end developmentbinary searchbinary tree manipulationbinary treesbit manipulationclean code practices
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