DaleStudy/leetcode-study
Mar 2026 – May 2026
3 Months active
Languages Used
GoRustC++JavaJavaScriptKotlinPythonSwift
Technical Skills
GoGo programmingRustalgorithm designalgorithm developmentcode quality improvement
Ted
PROFILE
Ted
Developed and expanded the DaleStudy/leetcode-study repository over three months, delivering a comprehensive suite of algorithmic problem solvers and educational libraries. Focused on Go and Rust, the work included implementing solutions for classical problems such as Jump Game, Search in Rotated Sorted Array, and MedianFinder for streaming data, as well as foundational algorithms like two-sum and 3Sum. Emphasized code quality through disciplined commit hygiene, linting, and documentation, ensuring maintainability and readability. Integrated data structures, bit manipulation, and dynamic programming techniques, resulting in a reusable, scalable resource that accelerates learning, supports real-time analytics, and streamlines onboarding for future contributors.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
3
Lines of code
304,684
Activity Months3
Your Network
310 peopleWork History
May 2026
3 Commits • 1 Features
May 1, 20262026-05 Monthly Summary for DaleStudy/leetcode-study: Key features delivered include the Algorithmic Problem Solvers Library with Jump Game, Search in Rotated Sorted Array, an XOR-based missing-number finder, and a MedianFinder for streaming data, expanding problem-solving coverage and real-time data processing capabilities. Major bugs fixed: none reported this month (focus on feature delivery and code quality). Overall impact: strengthens the study toolkit with reusable algorithms, enabling faster practice of common patterns and scalable growth of the library; supports real-time analytics scenarios. Technologies/skills demonstrated: algorithm design and implementation, data structures, streaming data processing, modular software design, and disciplined commit hygiene. Business value: reduces time to implement standard interview patterns, accelerates learning outcomes, and provides a solid foundation for future expansion.
3 Commits • 1 Features
May 1, 20262026-05 Monthly Summary for DaleStudy/leetcode-study: Key features delivered include the Algorithmic Problem Solvers Library with Jump Game, Search in Rotated Sorted Array, an XOR-based missing-number finder, and a MedianFinder for streaming data, expanding problem-solving coverage and real-time data processing capabilities. Major bugs fixed: none reported this month (focus on feature delivery and code quality). Overall impact: strengthens the study toolkit with reusable algorithms, enabling faster practice of common patterns and scalable growth of the library; supports real-time analytics scenarios. Technologies/skills demonstrated: algorithm design and implementation, data structures, streaming data processing, modular software design, and disciplined commit hygiene. Business value: reduces time to implement standard interview patterns, accelerates learning outcomes, and provides a solid foundation for future expansion.
May 2026
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) – DaleStudy/leetcode-study: Expanded the educational value with a multi-language Algorithmic Problem Solutions Library. Implemented in Rust and Go, this feature adds practical solutions across categories such as arrays, strings, graphs, matrices, and bit manipulation. Notable problems include max profit, encoding/decoding strings, anagrams grouping, word break with a trie, max area container, LIS, spiral matrix, parentheses validation, longest substring without repeats, number of islands, reverse linked list, set matrix zeroes, unique paths, reverse bits, and 3Sum. Five commits across weeks 5–7 delivered weekly solution sets and targeted implementations (week 5 solutions, week 6 solutions, week 7 solutions, reverse bits, add solutions). Major bug fixes: none recorded for this repo this month. Overall impact: enhanced educational resource, cross-language demonstrations, and repository value for learners. Technologies/skills demonstrated: Rust and Go implementations, algorithm design and data structures, cross-language code organization, and disciplined commit hygiene.
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) – DaleStudy/leetcode-study: Expanded the educational value with a multi-language Algorithmic Problem Solutions Library. Implemented in Rust and Go, this feature adds practical solutions across categories such as arrays, strings, graphs, matrices, and bit manipulation. Notable problems include max profit, encoding/decoding strings, anagrams grouping, word break with a trie, max area container, LIS, spiral matrix, parentheses validation, longest substring without repeats, number of islands, reverse linked list, set matrix zeroes, unique paths, reverse bits, and 3Sum. Five commits across weeks 5–7 delivered weekly solution sets and targeted implementations (week 5 solutions, week 6 solutions, week 7 solutions, reverse bits, add solutions). Major bug fixes: none recorded for this repo this month. Overall impact: enhanced educational resource, cross-language demonstrations, and repository value for learners. Technologies/skills demonstrated: Rust and Go implementations, algorithm design and data structures, cross-language code organization, and disciplined commit hygiene.
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for DaleStudy/leetcode-study: Delivered a comprehensive Algorithms Library for Coding Challenges and completed essential code quality improvements. Key features include a suite of algorithm solutions for common coding problems (duplicate detection, house robber, longest consecutive sequence, top-k frequent elements, two-sum, threeSum, climbStairs, productExceptSelf, isAnagram, BST validation). Also completed code quality cleanup to ensure consistency and maintainability.
4 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for DaleStudy/leetcode-study: Delivered a comprehensive Algorithms Library for Coding Challenges and completed essential code quality improvements. Key features include a suite of algorithm solutions for common coding problems (duplicate detection, house robber, longest consecutive sequence, top-k frequent elements, two-sum, threeSum, climbStairs, productExceptSelf, isAnagram, BST validation). Also completed code quality cleanup to ensure consistency and maintainability.
March 2026
Activity
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Quality Metrics
Correctness96.6%
Maintainability90.0%
Architecture91.6%
Performance91.6%
AI Usage23.4%
Skills & Technologies
Programming Languages
C++GoJavaJavaScriptKotlinPythonRustSwiftTypeScript
Technical Skills
GoGo programmingRustRust programmingalgorithm designalgorithm developmentback end developmentbit manipulationcode quality improvementdata structuresdynamic programmingfront end developmentlintingproblem solvingtrie implementation
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