Live-Coding-Test/Algorithm-study
Mar 2025 – May 2025
3 Months active
Languages Used
Git ConfigurationJavaScript
Technical Skills
AlgorithmArray ManipulationBacktrackingBreadth-First SearchCombinatoricsDFS
jinoo
PROFILE
Jinoo
Jinoo developed and maintained a comprehensive algorithm study repository, Live-Coding-Test/Algorithm-study, over three months, delivering 38 feature solutions and refining problem-solving workflows. He implemented a wide range of algorithms using JavaScript and Node.js, applying techniques such as stack-based validation, depth-first search, and array manipulation to solve complex problems like circle nesting and next greater element computation. Jinoo emphasized code quality and repository hygiene, introducing input file management to improve build reliability. His disciplined use of Git for version control ensured clear traceability and reproducibility, supporting both interview readiness and ongoing learning for himself and collaborators through well-structured, maintainable code.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
63Total
Bugs
1
Commits
63
Features
38
Lines of code
2,161
Activity Months3
Your Network
1013 people
Work History
May 2025
3 Commits • 3 Features
May 1, 2025Month: 2025-05. This month focused on delivering three algorithmic features within Live-Coding-Test/Algorithm-study, reinforcing stack-based and DFS techniques, with robust input/output handling and repository-level traceability. The work enhances interview readiness, provides reproducible solutions, and improves knowledge base for algorithmic exercises.
3 Commits • 3 Features
May 1, 2025Month: 2025-05. This month focused on delivering three algorithmic features within Live-Coding-Test/Algorithm-study, reinforcing stack-based and DFS techniques, with robust input/output handling and repository-level traceability. The work enhances interview readiness, provides reproducible solutions, and improves knowledge base for algorithmic exercises.
May 2025
April 2025
35 Commits • 22 Features
Apr 1, 2025April 2025 summary for repository Live-Coding-Test/Algorithm-study. Focused on delivering a broad set of algorithm practice solutions across multiple rounds (101차 to 114차). Key work involved implementing 31 problem solutions with clear, per-problem commits, building a solid track record for review and future maintenance. No major bug fixes were reported this month; the emphasis was on feature delivery, code quality, and learning progression. The work supports interview readiness, scalable solution patterns, and a stronger knowledge base for the team.
April 2025
35 Commits • 22 Features
Apr 1, 2025April 2025 summary for repository Live-Coding-Test/Algorithm-study. Focused on delivering a broad set of algorithm practice solutions across multiple rounds (101차 to 114차). Key work involved implementing 31 problem solutions with clear, per-problem commits, building a solid track record for review and future maintenance. No major bug fixes were reported this month; the emphasis was on feature delivery, code quality, and learning progression. The work supports interview readiness, scalable solution patterns, and a stronger knowledge base for the team.
March 2025
25 Commits • 13 Features
Mar 1, 2025March 2025 (Live-Coding-Test/Algorithm-study) — Delivered and stabilized a broad set of algorithm solutions across multiple batches (96차 through 101차), with a focus on reliability, maintainability, and knowledge transfer. Key work included implementing initial solutions, diagnosing and fixing early failures, and refining approaches for a consistent problem-solving workflow. Also introduced repository hygiene to prevent build noise by ignoring input.txt files, reducing CI risk and accidental inclusions. The month demonstrated strong algorithmic reasoning, disciplined version control, and a scalable pattern for future batch problems.
25 Commits • 13 Features
Mar 1, 2025March 2025 (Live-Coding-Test/Algorithm-study) — Delivered and stabilized a broad set of algorithm solutions across multiple batches (96차 through 101차), with a focus on reliability, maintainability, and knowledge transfer. Key work included implementing initial solutions, diagnosing and fixing early failures, and refining approaches for a consistent problem-solving workflow. Also introduced repository hygiene to prevent build noise by ignoring input.txt files, reducing CI risk and accidental inclusions. The month demonstrated strong algorithmic reasoning, disciplined version control, and a scalable pattern for future batch problems.
March 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability79.4%
Architecture66.0%
Performance74.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Git ConfigurationJavaScript
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBacktrackingBinary SearchBreadth-First SearchBreadth-First Search (BFS)CombinatoricsDFSData StructuresDepth First SearchDepth First Search (DFS)Depth-First SearchDepth-First Search (DFS)Dijkstra's Algorithm
Repositories Contributed To
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