Live-Coding-Test/Algorithm-study
Mar 2025 – Jul 2025
5 Months active
Languages Used
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationBFSBacktrackingBinary Search
hangyeol
PROFILE
Hangyeol
Developed and maintained the Live-Coding-Test/Algorithm-study repository, delivering over 49 algorithmic features in five months focused on scalable problem-solving sets and reusable code patterns. Leveraged Python to implement solutions using data structures, graph algorithms, dynamic programming, and search techniques such as BFS and DFS. Structured the repository for rapid onboarding and efficient review, standardizing folder organization and commit hygiene to support ongoing growth. Built utilities for tasks like prefix sums, disjoint set union, and combinatorics, while also creating specialized scripts for challenges including prime permutation counting and archery game optimization. Prioritized maintainability, modularity, and clear documentation throughout all contributions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
117Total
Bugs
0
Commits
117
Features
49
Lines of code
2,796
Activity Months5
Your Network
1143 peopleShared Repositories
12
Work History
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Live-Coding-Test/Algorithm-study: Delivered two core features with clear business value and reusable problem-solving patterns. No major bugs reported; focused on algorithmic capabilities, performance, and maintainability.
2 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Live-Coding-Test/Algorithm-study: Delivered two core features with clear business value and reusable problem-solving patterns. No major bugs reported; focused on algorithmic capabilities, performance, and maintainability.
July 2025
June 2025
9 Commits • 8 Features
Jun 1, 2025June 2025 performance summary for Live-Coding-Test/Algorithm-study. Delivered core algorithmic features and scaffolding enhancements across coding challenges with a focus on performance, scalability, and reusability. Key outcomes include optimized board repaint computation, fast submatrix queries, efficient resource allocation, and robust input scaffolding.
June 2025
9 Commits • 8 Features
Jun 1, 2025June 2025 performance summary for Live-Coding-Test/Algorithm-study. Delivered core algorithmic features and scaffolding enhancements across coding challenges with a focus on performance, scalability, and reusability. Key outcomes include optimized board repaint computation, fast submatrix queries, efficient resource allocation, and robust input scaffolding.
May 2025
16 Commits • 2 Features
May 1, 2025May 2025 — Delivered two core features in Live-Coding-Test/Algorithm-study: Parentheses Expression Generator and Algorithmic Challenge Solutions Library. Major bugs fixed: none reported this month. Overall impact: created a reusable algorithm toolkit that accelerates interview-prep, problem solving, and onboarding; improved code quality and maintainability across the repository. Technologies/skills demonstrated: Python scripting, algorithm design (BFS/DFS, LCA, graph algorithms, topological sort), data processing, sorting and deduplication, modular code organization, and Git discipline (clear commits and documentation).
16 Commits • 2 Features
May 1, 2025May 2025 — Delivered two core features in Live-Coding-Test/Algorithm-study: Parentheses Expression Generator and Algorithmic Challenge Solutions Library. Major bugs fixed: none reported this month. Overall impact: created a reusable algorithm toolkit that accelerates interview-prep, problem solving, and onboarding; improved code quality and maintainability across the repository. Technologies/skills demonstrated: Python scripting, algorithm design (BFS/DFS, LCA, graph algorithms, topological sort), data processing, sorting and deduplication, modular code organization, and Git discipline (clear commits and documentation).
May 2025
April 2025
39 Commits • 18 Features
Apr 1, 2025April 2025 monthly summary for Live-Coding-Test/Algorithm-study. Delivered extensive round-based problem-solving content with a scalable folder structure, maintained high-quality commits, and demonstrated growth in algorithms proficiency and repository organization. This work expanded the knowledge base, improved onboarding efficiency, and strengthened the team’s ability to rapidly add new problems and rounds.
April 2025
39 Commits • 18 Features
Apr 1, 2025April 2025 monthly summary for Live-Coding-Test/Algorithm-study. Delivered extensive round-based problem-solving content with a scalable folder structure, maintained high-quality commits, and demonstrated growth in algorithms proficiency and repository organization. This work expanded the knowledge base, improved onboarding efficiency, and strengthened the team’s ability to rapidly add new problems and rounds.
March 2025
51 Commits • 19 Features
Mar 1, 2025March 2025 performance summary for Live-Coding-Test/Algorithm-study. Delivered an extensive, scalable body of algorithm practice across rounds 88차 through 101차, established a coherent repo structure, and maintained strong commit hygiene to enable rapid onboarding and review. Key context: All feature work centers on problem-solving practice sets with clear commit references, including batch fixes and iterative round sets. This report focuses on business value, technical achievements, and reproducible learnings for future rounds.
51 Commits • 19 Features
Mar 1, 2025March 2025 performance summary for Live-Coding-Test/Algorithm-study. Delivered an extensive, scalable body of algorithm practice across rounds 88차 through 101차, established a coherent repo structure, and maintained strong commit hygiene to enable rapid onboarding and review. Key context: All feature work centers on problem-solving practice sets with clear commit references, including batch fixes and iterative round sets. This report focuses on business value, technical achievements, and reproducible learnings for future rounds.
March 2025
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Quality Metrics
Correctness87.4%
Maintainability83.2%
Architecture74.4%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationBFSBacktrackingBinary SearchBreadth-First SearchBreadth-First Search (BFS)Circular ArraysCombinatoricsData StructuresDepth First SearchDepth First Search (DFS)Depth-First SearchDifference Array
Repositories Contributed To
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