12-Algo/Algo
Oct 2024 – Nov 2024
2 Months active
Languages Used
C++JavaPython
Technical Skills
Algorithm DesignData StructuresProblem SolvingSoftware DevelopmentAlgorithmic Problem SolvingBacktracking
JunHee
PROFILE
Junhee
Over a two-month period, Lee Junhee developed and delivered advanced algorithmic solutions within the 12-Algo/Algo repository, focusing on both cross-language implementations and reusable library design. He engineered five distinct algorithm challenges in C++, Java, and Python, establishing a multi-language framework to accelerate future prototyping and feature delivery. In the following month, he created a C++ Algorithmic Problem Solvers Library, implementing dynamic programming, backtracking, and graph traversal techniques for educational and competitive programming scenarios. His work demonstrated strong software development discipline, with well-structured modules and groundwork for documentation, reflecting depth in algorithm design and practical problem-solving applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
610
Activity Months2
Your Network
3 peopleShared Repositories
3
Work History
November 2024
2 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a new reusable Algorithmic Problem Solvers Library in 12-Algo/Algo, a C++ module implementing dynamic programming and other algorithmic solvers for educational and competitive programming use. The library includes solutions for unbounded knapsack variants, a DP-based dance game, LIS-based line crossing, pair-sum in sorted arrays, longest increasing path in a grid, and a block-removal game with gravity/rotation mechanics. Commits associated with this feature: 9927f06fd30c583f373d5ec1de3d7bd0b1233e63 (1029 이준희) and c309778ca72fb30ca089f18c281b977493147412 (1105 이준희).
2 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a new reusable Algorithmic Problem Solvers Library in 12-Algo/Algo, a C++ module implementing dynamic programming and other algorithmic solvers for educational and competitive programming use. The library includes solutions for unbounded knapsack variants, a DP-based dance game, LIS-based line crossing, pair-sum in sorted arrays, longest increasing path in a grid, and a block-removal game with gravity/rotation mechanics. Commits associated with this feature: 9927f06fd30c583f373d5ec1de3d7bd0b1233e63 (1029 이준희) and c309778ca72fb30ca089f18c281b977493147412 (1105 이준희).
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — 12-Algo/Algo monthly summary. Key features delivered: cross-language algorithm challenge implementations across C++, Java, and Python, delivering five distinct algorithmic solutions: video playback control, character health regeneration, oil field exploration, robot route optimization, and time-based data processing. Commit reference: 426bd3d11de724c7ae767e5fafac794447cea904 (message: '1022 이준희 (#122)'). Major bugs fixed: none reported for this repository this month. Overall impact: established a reusable multi-language algorithm framework, enabling faster prototyping and cross-platform capability, reducing time-to-delivery for complex algorithm tasks. Technologies/skills demonstrated: multi-language software development (C++, Java, Python), algorithm design and optimization, version control discipline, cross-domain applicability.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — 12-Algo/Algo monthly summary. Key features delivered: cross-language algorithm challenge implementations across C++, Java, and Python, delivering five distinct algorithmic solutions: video playback control, character health regeneration, oil field exploration, robot route optimization, and time-based data processing. Commit reference: 426bd3d11de724c7ae767e5fafac794447cea904 (message: '1022 이준희 (#122)'). Major bugs fixed: none reported for this repository this month. Overall impact: established a reusable multi-language algorithm framework, enabling faster prototyping and cross-platform capability, reducing time-to-delivery for complex algorithm tasks. Technologies/skills demonstrated: multi-language software development (C++, Java, Python), algorithm design and optimization, version control discipline, cross-domain applicability.
Activity
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Quality Metrics
Correctness83.4%
Maintainability76.6%
Architecture73.4%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaPython
Technical Skills
Algorithm DesignAlgorithmic Problem SolvingBacktrackingData StructuresDynamic ProgrammingGraph TraversalProblem SolvingSoftware Development
Repositories Contributed To
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