CTStudyGroup/BOJ
Jan 2025 – Jun 2025
6 Months active
Languages Used
C++
Technical Skills
2D Array ManipulationAlgorithmAlgorithm DesignAlgorithm ImplementationBacktrackingBreadth-First Search
Rimi
PROFILE
Rimi
Lora contributed to the CTStudyGroup/BOJ repository by developing and refining over 130 algorithmic solutions and gameplay modules in C++. She focused on building a scalable problem-solving library, implementing features such as cross-language C++/Python modules, reusable scaffolding, and gameplay frameworks for simulation and learning. Her work emphasized maintainable code organization, consistent naming, and disciplined version control, enabling rapid onboarding and iterative development. Lora applied advanced techniques in dynamic programming, graph traversal, and data structures, while also addressing bugs and optimizing performance. The resulting repository provides a robust foundation for ongoing algorithm practice, interview preparation, and collaborative learning in C++.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
240Total
Bugs
9
Commits
240
Features
131
Lines of code
17,107
Activity Months6
Your Network
9 people
Work History
June 2025
33 Commits • 27 Features
Jun 1, 2025June 2025 — CTStudyGroup/BOJ monthly summary focusing on feature delivery, code quality, and velocity. Delivered a broad set of initial and refined algorithmic solutions across Baekjoon problems, establishing a scalable base for ongoing practice and potential interview prep. Also started a lightweight gameplay module framework to support future extensions and learning.
33 Commits • 27 Features
Jun 1, 2025June 2025 — CTStudyGroup/BOJ monthly summary focusing on feature delivery, code quality, and velocity. Delivered a broad set of initial and refined algorithmic solutions across Baekjoon problems, establishing a scalable base for ongoing practice and potential interview prep. Also started a lightweight gameplay module framework to support future extensions and learning.
June 2025
May 2025
37 Commits • 33 Features
May 1, 2025Month: 2025-05 | CTStudyGroup/BOJ Key features delivered: - Expanded the problem-solving library with 25+ algorithm implementations across BFS/DFS, graph, DP, and simulation categories. Notable additions include ZOAC 16719, Pipe Moving 17069, Dice Stacking 2116, 2D Array and Operation 17140, Commuting Routes 5569, Pizza Baking 1756, Parenthesis Insertion 11899, and Matrix 1080, among others. Several complex problems such as Honey Harvest, Ghosted or Magician Shark variants, and NM/K were added or updated to broaden coverage and practice scenarios for interview readiness. - Foundational repository improvements: initial scaffolding established, consistent naming convention (e.g., 16719_ZOAC.cpp, 24480_알고리즘수업깊이우선탐색2.cpp) and structured commits to facilitate onboarding and collaboration. Major bugs fixed: - General Bug Fixes across modules to improve stability and consistency (commit: 5ba01f90f51a1822c8e25695117321fe82009ed7). Overall impact and accomplishments: - Significantly increased solution coverage and reusability, enabling faster onboarding and faster iteration for new problems. The month demonstrates steady progress building a scalable, high-quality algorithm library while maintaining disciplined version control and documentation. Technologies/skills demonstrated: - C++ development, algorithm design and optimization (BFS/DFS, graph, DP, simulation), problem-solving patterns, and data-structure proficiency. - Strong Git discipline with descriptive commit messages and cohesive repository scaffolding.
May 2025
37 Commits • 33 Features
May 1, 2025Month: 2025-05 | CTStudyGroup/BOJ Key features delivered: - Expanded the problem-solving library with 25+ algorithm implementations across BFS/DFS, graph, DP, and simulation categories. Notable additions include ZOAC 16719, Pipe Moving 17069, Dice Stacking 2116, 2D Array and Operation 17140, Commuting Routes 5569, Pizza Baking 1756, Parenthesis Insertion 11899, and Matrix 1080, among others. Several complex problems such as Honey Harvest, Ghosted or Magician Shark variants, and NM/K were added or updated to broaden coverage and practice scenarios for interview readiness. - Foundational repository improvements: initial scaffolding established, consistent naming convention (e.g., 16719_ZOAC.cpp, 24480_알고리즘수업깊이우선탐색2.cpp) and structured commits to facilitate onboarding and collaboration. Major bugs fixed: - General Bug Fixes across modules to improve stability and consistency (commit: 5ba01f90f51a1822c8e25695117321fe82009ed7). Overall impact and accomplishments: - Significantly increased solution coverage and reusability, enabling faster onboarding and faster iteration for new problems. The month demonstrates steady progress building a scalable, high-quality algorithm library while maintaining disciplined version control and documentation. Technologies/skills demonstrated: - C++ development, algorithm design and optimization (BFS/DFS, graph, DP, simulation), problem-solving patterns, and data-structure proficiency. - Strong Git discipline with descriptive commit messages and cohesive repository scaffolding.
April 2025
47 Commits • 22 Features
Apr 1, 2025April 2025 highlights: Expanded problem-solving coverage in CTStudyGroup/BOJ with 20+ new Baekjoon solutions across a wide range of topics (math, BFS, DFS, simulation, and array manipulation), introduced practical utilities, and implemented targeted performance improvements. The work strengthens business value by broadening reference material, accelerating onboarding, and improving solution quality and maintainability.
47 Commits • 22 Features
Apr 1, 2025April 2025 highlights: Expanded problem-solving coverage in CTStudyGroup/BOJ with 20+ new Baekjoon solutions across a wide range of topics (math, BFS, DFS, simulation, and array manipulation), introduced practical utilities, and implemented targeted performance improvements. The work strengthens business value by broadening reference material, accelerating onboarding, and improving solution quality and maintainability.
April 2025
March 2025
47 Commits • 31 Features
Mar 1, 2025Month: 2025-03 Overview: Expanded the CTStudyGroup/BOJ repository with a substantial batch of new problem solutions, performed targeted maintenance fixes, and strengthened documentation to support faster onboarding for future problem-solving work. The work emphasizes business value through increased problem coverage, code quality, and maintainability.
March 2025
47 Commits • 31 Features
Mar 1, 2025Month: 2025-03 Overview: Expanded the CTStudyGroup/BOJ repository with a substantial batch of new problem solutions, performed targeted maintenance fixes, and strengthened documentation to support faster onboarding for future problem-solving work. The work emphasizes business value through increased problem coverage, code quality, and maintainability.
February 2025
51 Commits • 16 Features
Feb 1, 2025February 2025 (CTStudyGroup/BOJ) Monthly Summary Key Features Delivered - Traveling Salesman Route Calculation (v2): added module to optimize route planning. - 2048 Game Module: integrated 2048 game experience. - Progress Percentage Display: UI progress indicators showing 56% and 100%. - New modules added: Hyolim, Quattro Pizza, Baby Shark, Goodness, Pisano Period, plus miscellaneous components to bootstrap the project. - Core Module Bootstrap and problem-solution scaffolds to speed future work, including 19539_사과나무.c++, 14891_톱니바퀴.c++, 1405_미친로봇.c++, and related components. - Batch 2 problem scaffolds and initial implementations for numerous problems (e.g., 1022_소용돌이예쁘게출력하기, 18352_특정거리의도시찾기, 10835_카드게임, 3986_좋은단어, 15903_카드합체놀이, 14890_경사로, 12845_모두의마블, 2589_보물 섬, 20300_서강근육맨, 1213_팰린드롬만들기, 28215_대피소) Major Bugs Fixed - Wrong answer issues in latest batch solutions; corrected wrong code 2 in batch 2 solutions. - Updated 6987_월드컵.c++ to fix observed issues. - Updates to 14891_톱니바퀴.c++, hyolim, and 14719_빗물.c++ to stabilize integration. - Added and corrected distribution and problem modules (Hamburger Distribution; Treasure Island; Sogang Muscle Man; Palindrome Making; Shelter). Overall Impact and Accomplishments - Significantly accelerated problem-solving capabilities by building a reusable core architecture and scaffolds, enabling rapid delivery of new algorithms and problem solutions. - Improved solution quality and reliability across batch 2 problems, reducing defect risk and enabling more confident demonstrations to stakeholders. - Expanded feature set and engagement opportunities with new modules and a progressive UX indicator, supporting business demos and learning. Technologies/Skills Demonstrated - Proficient C++ development across diverse algorithmic domains, modular architecture, and scalable scaffolding. - Strong focus on maintainability, documentation-friendly commits, and rapid onboarding for new problems. - End-to-end development from core bootstrap to problem-specific implementations, including UI progress indicators and game/module integrations.
51 Commits • 16 Features
Feb 1, 2025February 2025 (CTStudyGroup/BOJ) Monthly Summary Key Features Delivered - Traveling Salesman Route Calculation (v2): added module to optimize route planning. - 2048 Game Module: integrated 2048 game experience. - Progress Percentage Display: UI progress indicators showing 56% and 100%. - New modules added: Hyolim, Quattro Pizza, Baby Shark, Goodness, Pisano Period, plus miscellaneous components to bootstrap the project. - Core Module Bootstrap and problem-solution scaffolds to speed future work, including 19539_사과나무.c++, 14891_톱니바퀴.c++, 1405_미친로봇.c++, and related components. - Batch 2 problem scaffolds and initial implementations for numerous problems (e.g., 1022_소용돌이예쁘게출력하기, 18352_특정거리의도시찾기, 10835_카드게임, 3986_좋은단어, 15903_카드합체놀이, 14890_경사로, 12845_모두의마블, 2589_보물 섬, 20300_서강근육맨, 1213_팰린드롬만들기, 28215_대피소) Major Bugs Fixed - Wrong answer issues in latest batch solutions; corrected wrong code 2 in batch 2 solutions. - Updated 6987_월드컵.c++ to fix observed issues. - Updates to 14891_톱니바퀴.c++, hyolim, and 14719_빗물.c++ to stabilize integration. - Added and corrected distribution and problem modules (Hamburger Distribution; Treasure Island; Sogang Muscle Man; Palindrome Making; Shelter). Overall Impact and Accomplishments - Significantly accelerated problem-solving capabilities by building a reusable core architecture and scaffolds, enabling rapid delivery of new algorithms and problem solutions. - Improved solution quality and reliability across batch 2 problems, reducing defect risk and enabling more confident demonstrations to stakeholders. - Expanded feature set and engagement opportunities with new modules and a progressive UX indicator, supporting business demos and learning. Technologies/Skills Demonstrated - Proficient C++ development across diverse algorithmic domains, modular architecture, and scalable scaffolding. - Strong focus on maintainability, documentation-friendly commits, and rapid onboarding for new problems. - End-to-end development from core bootstrap to problem-specific implementations, including UI progress indicators and game/module integrations.
February 2025
January 2025
25 Commits • 2 Features
Jan 1, 2025January 2025: Delivered Hyolim multi-language core across Python and C/C++, establishing a cross-language core ready for performance-critical workflows. Created the initial Hyolim C++ module skeleton and scaffolding across multiple commits, enabling native performance paths and smoother feature evolution. Removed prebuilt executable artifacts to improve build reliability and reduce release risk. This work provides a robust foundation for cross-language integration, accelerates feature delivery, and improves maintainability through consistent module boundaries and bindings.
January 2025
25 Commits • 2 Features
Jan 1, 2025January 2025: Delivered Hyolim multi-language core across Python and C/C++, establishing a cross-language core ready for performance-critical workflows. Created the initial Hyolim C++ module skeleton and scaffolding across multiple commits, enabling native performance paths and smoother feature evolution. Removed prebuilt executable artifacts to improve build reliability and reduce release risk. This work provides a robust foundation for cross-language integration, accelerates feature delivery, and improves maintainability through consistent module boundaries and bindings.
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture74.6%
Performance77.2%
AI Usage20.4%
Skills & Technologies
Programming Languages
C++
Technical Skills
2D Array Manipulation2D Grid Manipulation2D Prefix Sum3D Maze SolvingAlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsArray ManipulationBack-end DevelopmentBacktrackingBase ConversionBasic I/OBasic ProgrammingBinary Search
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