CTStudyGroup/BOJ
Nov 2024 – Nov 2025
13 Months active
Languages Used
MarkdownPythonJSONShellYAMLBashjqC++
Technical Skills
3D Grid TraversalAlgorithmAlgorithm DesignAlgorithm ImplementationBacktrackingBreadth-First Search
Eunjin Kim
PROFILE
Eunjin Kim
Jenny Eunjin developed a robust suite of algorithmic problem-solving modules and utilities for the CTStudyGroup/BOJ repository, focusing on scalable code organization and maintainability. Over thirteen months, she delivered hundreds of Python modules addressing graph traversal, dynamic programming, and combinatorial optimization, often leveraging Python and Bash for scripting and automation. Her work included implementing CI/CD pipelines with GitHub Actions, optimizing core algorithms for performance, and standardizing data ingestion and transformation utilities. By integrating documentation updates and governance improvements, Jenny enabled faster onboarding and reliable collaboration, resulting in a reusable, well-structured codebase that supports ongoing learning and efficient feature delivery.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
517Total
Bugs
8
Commits
517
Features
289
Lines of code
76,975
Activity Months13
Your Network
14 peopleSame Organization
@khu.ac.kr5
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: CTStudyGroup/BOJ - CI/CD workflow improvements and contributor onboarding. Focused on refining the GitHub Actions PR workflow to improve clarity of participant names and streamline onboarding for new contributors. No major user-facing features beyond workflow improvements; no critical bugs reported. Changes enhance onboarding efficiency, PR review clarity, and contributor traceability, laying groundwork for faster contribution cycles and more predictable PR handling.
2 Commits • 1 Features
Nov 1, 2025November 2025: CTStudyGroup/BOJ - CI/CD workflow improvements and contributor onboarding. Focused on refining the GitHub Actions PR workflow to improve clarity of participant names and streamline onboarding for new contributors. No major user-facing features beyond workflow improvements; no critical bugs reported. Changes enhance onboarding efficiency, PR review clarity, and contributor traceability, laying groundwork for faster contribution cycles and more predictable PR handling.
November 2025
October 2025
23 Commits • 16 Features
Oct 1, 2025October 2025 — CTStudyGroup/BOJ delivered a broad algorithmic solver suite and an initial keyword-based challenge framework, with DP/pathfinding modules and scheduling logic enabling practical problem-solving workflows. New utilities for mathematics, proofs, and palindrome checks were added. Expanded repository coverage to 15+ Baekjoon problems across puzzles, math, information problems, and large-project support, improving scalability, code reuse, and traceability through commit-level documentation. This work enhances business value by accelerating onboarding of new problems, enabling educational content, and providing a solid foundation for rapid feature delivery.
October 2025
23 Commits • 16 Features
Oct 1, 2025October 2025 — CTStudyGroup/BOJ delivered a broad algorithmic solver suite and an initial keyword-based challenge framework, with DP/pathfinding modules and scheduling logic enabling practical problem-solving workflows. New utilities for mathematics, proofs, and palindrome checks were added. Expanded repository coverage to 15+ Baekjoon problems across puzzles, math, information problems, and large-project support, improving scalability, code reuse, and traceability through commit-level documentation. This work enhances business value by accelerating onboarding of new problems, enabling educational content, and providing a solid foundation for rapid feature delivery.
September 2025
24 Commits • 14 Features
Sep 1, 2025Month 2025-09: Delivered a focused, business-value-driven algorithmic feature set for CTStudyGroup/BOJ, expanding problem-solving capabilities, increasing onboarding velocity, and extending a reusable algorithm library. Highlights include a comprehensive Graph and Routing Problems suite, a broad collection of string/IO and scheduling/greedy problems, and targeted performance improvements for large-scale task merging. The work demonstrates solid Python engineering, strong data-structure/algorithm mastery, and an ability to implement optimized solutions across diverse problem domains.
24 Commits • 14 Features
Sep 1, 2025Month 2025-09: Delivered a focused, business-value-driven algorithmic feature set for CTStudyGroup/BOJ, expanding problem-solving capabilities, increasing onboarding velocity, and extending a reusable algorithm library. Highlights include a comprehensive Graph and Routing Problems suite, a broad collection of string/IO and scheduling/greedy problems, and targeted performance improvements for large-scale task merging. The work demonstrates solid Python engineering, strong data-structure/algorithm mastery, and an ability to implement optimized solutions across diverse problem domains.
September 2025
August 2025
57 Commits • 40 Features
Aug 1, 2025August 2025 (CTStudyGroup/BOJ) delivered a comprehensive Batch 1 of problem solutions and governance improvements, expanding solution coverage, improving code quality, and strengthening onboarding and governance processes. The month combined high-impact feature work across 20+ BOJ problems with targeted bug fixes and a refactor-friendly governance update to support scalable contributions.
August 2025
57 Commits • 40 Features
Aug 1, 2025August 2025 (CTStudyGroup/BOJ) delivered a comprehensive Batch 1 of problem solutions and governance improvements, expanding solution coverage, improving code quality, and strengthening onboarding and governance processes. The month combined high-impact feature work across 20+ BOJ problems with targeted bug fixes and a refactor-friendly governance update to support scalable contributions.
July 2025
46 Commits • 41 Features
Jul 1, 2025July 2025 performance for CTStudyGroup/BOJ focused on elevating core editor capabilities, enabling planning workflows, and delivering a broad suite of algorithmic problem-solving modules. No explicit major bug fixes were reported; the month prioritized feature delivery, code quality, and test coverage to support scalable growth and learning. Key context: single repository CTStudyGroup/BOJ with a large ladder of problem-solutions and utilities, reflected by active commits across editor, planning, taxi/pathfinding, counting/geometry problems, and extensive Baekjoon problem solutions.
46 Commits • 41 Features
Jul 1, 2025July 2025 performance for CTStudyGroup/BOJ focused on elevating core editor capabilities, enabling planning workflows, and delivering a broad suite of algorithmic problem-solving modules. No explicit major bug fixes were reported; the month prioritized feature delivery, code quality, and test coverage to support scalable growth and learning. Key context: single repository CTStudyGroup/BOJ with a large ladder of problem-solutions and utilities, reflected by active commits across editor, planning, taxi/pathfinding, counting/geometry problems, and extensive Baekjoon problem solutions.
July 2025
June 2025
47 Commits • 24 Features
Jun 1, 2025June 2025 – CTStudyGroup/BOJ: Delivered a broad set of algorithmic solutions, strengthened CI/CD, and fixed a critical bug. Expanded problem coverage across multiple Baekjoon-style challenges, stabilized the CI workflow, and improved maintainability with clear commit history and documentation enhancements. Business value centers on faster issue resolution, more reusable solutions, and a robust foundation for ongoing contributions.
June 2025
47 Commits • 24 Features
Jun 1, 2025June 2025 – CTStudyGroup/BOJ: Delivered a broad set of algorithmic solutions, strengthened CI/CD, and fixed a critical bug. Expanded problem coverage across multiple Baekjoon-style challenges, stabilized the CI workflow, and improved maintainability with clear commit history and documentation enhancements. Business value centers on faster issue resolution, more reusable solutions, and a robust foundation for ongoing contributions.
May 2025
16 Commits • 15 Features
May 1, 2025May 2025: Implemented a suite of high-impact algorithms and grid utilities in CTStudyGroup/BOJ, delivering scalable problem-solving capabilities and tangible performance gains. Key outcomes include a sliding-window solution for the longest subarray with at most K occurrences, a DP-based coin change solver, a DSU-based social network connectivity module, a Python grid game simulator with rotations and reductions, and a matrix transformation toolkit with flips and rotations. These additions improve solution speed and reliability for common BOJ patterns, enable rapid prototyping, and demonstrate mastery of DP, graph algorithms, BFS, and matrix operations.
16 Commits • 15 Features
May 1, 2025May 2025: Implemented a suite of high-impact algorithms and grid utilities in CTStudyGroup/BOJ, delivering scalable problem-solving capabilities and tangible performance gains. Key outcomes include a sliding-window solution for the longest subarray with at most K occurrences, a DP-based coin change solver, a DSU-based social network connectivity module, a Python grid game simulator with rotations and reductions, and a matrix transformation toolkit with flips and rotations. These additions improve solution speed and reliability for common BOJ patterns, enable rapid prototyping, and demonstrate mastery of DP, graph algorithms, BFS, and matrix operations.
May 2025
April 2025
112 Commits • 53 Features
Apr 1, 2025April 2025 performance summary for CTStudyGroup/BOJ: Drove substantial library expansion and process improvements. Delivered 14 new Eunjin Python modules, added 7 Eunjin problem-solution files, and integrated 9 new Baekjoon solutions in Batch 8. Implemented CI workflows with GitHub Actions, updated PR templates, and refreshed CODEOWNERS. Updated documentation (README) to improve onboarding and maintainability. These efforts broaden problem-solving coverage, accelerate onboarding for new contributors, and strengthen code ownership and automated testing. No major production bugs were reported during the period; regressions and improvements were addressed within batch updates. Technologies demonstrated: Python, batch file organization, Git, CI/CD, documentation practices, and contribution patterns.
April 2025
112 Commits • 53 Features
Apr 1, 2025April 2025 performance summary for CTStudyGroup/BOJ: Drove substantial library expansion and process improvements. Delivered 14 new Eunjin Python modules, added 7 Eunjin problem-solution files, and integrated 9 new Baekjoon solutions in Batch 8. Implemented CI workflows with GitHub Actions, updated PR templates, and refreshed CODEOWNERS. Updated documentation (README) to improve onboarding and maintainability. These efforts broaden problem-solving coverage, accelerate onboarding for new contributors, and strengthen code ownership and automated testing. No major production bugs were reported during the period; regressions and improvements were addressed within batch updates. Technologies demonstrated: Python, batch file organization, Git, CI/CD, documentation practices, and contribution patterns.
March 2025
37 Commits • 23 Features
Mar 1, 2025March 2025 CTStudyGroup/BOJ monthly summary: Delivered substantial feature coverage and quality improvements across the repository, focusing on modular problem-solving capabilities, batch feature expansion, and governance. Improvements span new module implementations, batch problem solutions, contributor onboarding modules, and documentation/governance updates, with a concrete fix to an incorrect solution for a high-priority problem.
37 Commits • 23 Features
Mar 1, 2025March 2025 CTStudyGroup/BOJ monthly summary: Delivered substantial feature coverage and quality improvements across the repository, focusing on modular problem-solving capabilities, batch feature expansion, and governance. Improvements span new module implementations, batch problem solutions, contributor onboarding modules, and documentation/governance updates, with a concrete fix to an incorrect solution for a high-priority problem.
March 2025
February 2025
61 Commits • 18 Features
Feb 1, 2025February 2025 monthly summary for CTStudyGroup/BOJ. Highlights include a substantial expansion of automated BOJ problem-solving modules through batch-based module additions, governance improvements, and targeted bug fixes. Delivered 44 new problem-solving scripts across batches 1, 2, and 4, strengthening coverage and reuse across common BOJ categories.
February 2025
61 Commits • 18 Features
Feb 1, 2025February 2025 monthly summary for CTStudyGroup/BOJ. Highlights include a substantial expansion of automated BOJ problem-solving modules through batch-based module additions, governance improvements, and targeted bug fixes. Delivered 44 new problem-solving scripts across batches 1, 2, and 4, strengthening coverage and reuse across common BOJ categories.
January 2025
39 Commits • 15 Features
Jan 1, 2025January 2025 performance summary for CTStudyGroup/BOJ: Delivered a substantial expansion of the Eunjin Python module suite, adding 34 new modules across Batch 1 and subsequent script suites to broaden data ingestion, runtime utilities, and scripting capabilities. The work created a richer, reusable foundation for data processing and automation, accelerating feature delivery and improving maintainability. Governance improvements were implemented through an updated CODEOWNERS to reflect current ownership, enhancing collaboration and code reviews.
39 Commits • 15 Features
Jan 1, 2025January 2025 performance summary for CTStudyGroup/BOJ: Delivered a substantial expansion of the Eunjin Python module suite, adding 34 new modules across Batch 1 and subsequent script suites to broaden data ingestion, runtime utilities, and scripting capabilities. The work created a richer, reusable foundation for data processing and automation, accelerating feature delivery and improving maintainability. Governance improvements were implemented through an updated CODEOWNERS to reflect current ownership, enhancing collaboration and code reviews.
January 2025
December 2024
23 Commits • 12 Features
Dec 1, 2024December 2024 in CTStudyGroup/BOJ focused on expanding and standardizing the Eunjin utilities stack, delivering foundational core utilities, data transformation helpers, and I/O/parsing utilities, along with a substantial set of domain modules. This work established reusable patterns, improved data ingestion and processing reliability, and enabled faster, safer downstream development. While explicit bug fixes aren’t listed in the provided data, the added utilities reduce downstream defects by standardizing interfaces and data handling across modules.
December 2024
23 Commits • 12 Features
Dec 1, 2024December 2024 in CTStudyGroup/BOJ focused on expanding and standardizing the Eunjin utilities stack, delivering foundational core utilities, data transformation helpers, and I/O/parsing utilities, along with a substantial set of domain modules. This work established reusable patterns, improved data ingestion and processing reliability, and enabled faster, safer downstream development. While explicit bug fixes aren’t listed in the provided data, the added utilities reduce downstream defects by standardizing interfaces and data handling across modules.
November 2024
30 Commits • 17 Features
Nov 1, 2024November 2024 (CTStudyGroup/BOJ) focused on expanding problem-solving coverage, improving runtime for a critical timeout-prone task, and strengthening project maintainability through documentation and modularization. Key features delivered include a suite of new Baekjoon problem solutions and the creation of several new Python modules, supported by updated project documentation. Major bug fixes address performance bottlenecks in a widely used problem, enhancing reliability for end users. The work resulted in broader problem coverage, faster runtime for time-sensitive tasks, and a scalable codebase that supports ongoing learning and contribution.
30 Commits • 17 Features
Nov 1, 2024November 2024 (CTStudyGroup/BOJ) focused on expanding problem-solving coverage, improving runtime for a critical timeout-prone task, and strengthening project maintainability through documentation and modularization. Key features delivered include a suite of new Baekjoon problem solutions and the creation of several new Python modules, supported by updated project documentation. Major bug fixes address performance bottlenecks in a widely used problem, enhancing reliability for end users. The work resulted in broader problem coverage, faster runtime for time-sensitive tasks, and a scalable codebase that supports ongoing learning and contribution.
November 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.2%
Architecture77.8%
Performance80.4%
AI Usage20.4%
Skills & Technologies
Programming Languages
BashC++JSONMarkdownPythonShellYAMLjq
Technical Skills
3D Grid Traversal3D Maze SolvingAPI IntegrationAWS LambdaAlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationAlgorithmsBFSBack-end DevelopmentBacktrackingBash ScriptingBasic ArithmeticBinary Search
Repositories Contributed To
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