CODE-U-S/Coding_Test_Study
Mar 2025 – Sep 2025
7 Months active
Languages Used
JavaMarkdownCPythonJavaScriptSQL
Technical Skills
AlgorithmBasic MathProblem SolvingString ManipulationJava DevelopmentAlgorithm Implementation
gkwydl
PROFILE
Gkwydl
Junglim Ha developed a comprehensive suite of algorithmic solutions and utilities in the CODE-U-S/Coding_Test_Study repository, focusing on problem-solving for coding tests and onboarding. Over seven months, Junglim delivered features spanning Java, Python, and SQL, implementing array manipulation, string processing, and arithmetic logic to address challenges from platforms like BaekjoonHub and Programmers. The work emphasized maintainable, well-documented code with clear input/output contracts, performance profiling, and repository hygiene. By integrating cross-language solutions, updating documentation, and refining code quality, Junglim enabled scalable, reusable problem-solving resources that support both educational use and rapid onboarding for new contributors.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
133Total
Bugs
4
Commits
133
Features
65
Lines of code
7,965
Activity Months7
Your Network
16 people
Work History
September 2025
16 Commits • 3 Features
Sep 1, 2025Delivery highlights for 2025-09 at CODE-U-S/Coding_Test_Study: Implemented and documented core algorithms across Java with thorough README coverage and performance notes; expanded cross-language problem-solving capabilities; and reduced technical debt through code cleanup. Features shipped include: Divisor pairs counting solution (Java) with README, problem statement, IO examples, and performance snapshot (Time: 7.64 ms, Memory: 83.3 MB); Pattern printer: Right-angled isosceles triangle (Java) with README and performance snapshot (Time: 365.13 ms, Memory: 63.6 MB); Algorithmic challenge solutions across Java/Python/SQL focusing on arithmetic, string manipulation, arrays, and database queries. Maintenance: cleanup removing deprecated SQL queries and related files. Impact: broadened problem-solving coverage, improved documentation for onboarding and usage, and reduced technical debt. Technologies/skills demonstrated: Java, Python, SQL; performance profiling; README/documentation; cross-language solution delivery.
16 Commits • 3 Features
Sep 1, 2025Delivery highlights for 2025-09 at CODE-U-S/Coding_Test_Study: Implemented and documented core algorithms across Java with thorough README coverage and performance notes; expanded cross-language problem-solving capabilities; and reduced technical debt through code cleanup. Features shipped include: Divisor pairs counting solution (Java) with README, problem statement, IO examples, and performance snapshot (Time: 7.64 ms, Memory: 83.3 MB); Pattern printer: Right-angled isosceles triangle (Java) with README and performance snapshot (Time: 365.13 ms, Memory: 63.6 MB); Algorithmic challenge solutions across Java/Python/SQL focusing on arithmetic, string manipulation, arrays, and database queries. Maintenance: cleanup removing deprecated SQL queries and related files. Impact: broadened problem-solving coverage, improved documentation for onboarding and usage, and reduced technical debt. Technologies/skills demonstrated: Java, Python, SQL; performance profiling; README/documentation; cross-language solution delivery.
September 2025
August 2025
8 Commits • 4 Features
Aug 1, 2025Monthly summary for 2025-08 – CODE-U-S/Coding_Test_Study. Focused on delivering correct algorithm implementations, expanding problem-domain coverage, and improving code quality. Key outcomes include: corrected Largest Number Problem logic and updated README performance metrics to reflect current execution results; implemented String Array Similarity solution with cross-checking commits; added Java Integer Equality Check; implemented Clothing Store Discount with tiered pricing; added Quadrant Determination based on coordinates. These contributions deliver reliable, scalable problem-solving capabilities, improved performance transparency, and maintainable code, driving business value through accurate results, clearer benchmarks, and broader problem-domain coverage. Demonstrated technologies include Java, algorithm design, performance measurement, and documentation.
August 2025
8 Commits • 4 Features
Aug 1, 2025Monthly summary for 2025-08 – CODE-U-S/Coding_Test_Study. Focused on delivering correct algorithm implementations, expanding problem-domain coverage, and improving code quality. Key outcomes include: corrected Largest Number Problem logic and updated README performance metrics to reflect current execution results; implemented String Array Similarity solution with cross-checking commits; added Java Integer Equality Check; implemented Clothing Store Discount with tiered pricing; added Quadrant Determination based on coordinates. These contributions deliver reliable, scalable problem-solving capabilities, improved performance transparency, and maintainable code, driving business value through accurate results, clearer benchmarks, and broader problem-domain coverage. Demonstrated technologies include Java, algorithm design, performance measurement, and documentation.
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 performance summary for CODE-U-S/Coding_Test_Study focused on delivering reusable algorithmic utilities across Java and Python with production-ready interfaces and thorough documentation. Four feature-driven implementations were completed, each with clear input/output contracts and emphasis on maintainability, testability, and business value for coding-test automation and educational use. The work enhances cross-language reusability and accelerates onboarding for new contributors while expanding our safe, well-documented utility library.
7 Commits • 4 Features
Jul 1, 2025July 2025 performance summary for CODE-U-S/Coding_Test_Study focused on delivering reusable algorithmic utilities across Java and Python with production-ready interfaces and thorough documentation. Four feature-driven implementations were completed, each with clear input/output contracts and emphasis on maintainability, testability, and business value for coding-test automation and educational use. The work enhances cross-language reusability and accelerates onboarding for new contributors while expanding our safe, well-documented utility library.
July 2025
June 2025
37 Commits • 21 Features
Jun 1, 2025June 2025 (2025-06) – CODE-U-S/Coding_Test_Study: Delivered a substantial library of algorithmic solutions for BaekjoonHub and PGS tasks, spanning level 0–1 problems. Focused on end-to-end feature delivery (problem solving, clear documentation, and iterative refinement) to accelerate onboarding, assessments, and future development. No major bug fixes were flagged; work centered on feature delivery and systematic code improvements, evidenced by a robust commit history across multiple problem sets.
June 2025
37 Commits • 21 Features
Jun 1, 2025June 2025 (2025-06) – CODE-U-S/Coding_Test_Study: Delivered a substantial library of algorithmic solutions for BaekjoonHub and PGS tasks, spanning level 0–1 problems. Focused on end-to-end feature delivery (problem solving, clear documentation, and iterative refinement) to accelerate onboarding, assessments, and future development. No major bug fixes were flagged; work centered on feature delivery and systematic code improvements, evidenced by a robust commit history across multiple problem sets.
May 2025
41 Commits • 21 Features
May 1, 2025May 2025 (CODE-U-S/Coding_Test_Study): Delivered a broad library of Baekjoon-style problem solutions across arithmetic, counting, number theory, and simple pattern outputs, and established a PGS Level 0 baseline. Also addressed repository state consistency by fixing deletion reflection. This month’s work emphasizes business value, maintainability, and learning-track readiness for new contributors. Key features delivered: - Implemented and added solutions for a wide set of Baekjoon-style problems, including two numbers multiplication, sum, difference, remainder, number comparison, division, quotient, age output, angle measurement, even/odd counting, perfect square check, character repetition, and pattern outputs. Representative commits: 433cd0af..., dc6180b5..., 0f59c6a2..., c5cd636d..., fab7c158..., 642ca82d..., 335a8ac3..., 4def7cf9..., 576a8f80... - Initiated and integrated PGS Level 0 baseline for reference problems to standardize problem coverage and benchmarking. Major bugs fixed: - Reflect file deletion in repository state; ensured changes to file structure are accurately reflected in repo metadata and history (commit 6f87e6ffd...). Overall impact and accomplishments: - Expanded the algorithm library to enhance learning resources and onboarding; improved consistency in problem coverage and commit hygiene; laid groundwork for future automation and testing. Technologies/skills demonstrated: - Algorithm design and implementation across common Baekjoon problems, performance awareness (noted times/memory in commits), effective use of baseline patterns (PGS Level 0), and repo hygiene (deletion reflection).
41 Commits • 21 Features
May 1, 2025May 2025 (CODE-U-S/Coding_Test_Study): Delivered a broad library of Baekjoon-style problem solutions across arithmetic, counting, number theory, and simple pattern outputs, and established a PGS Level 0 baseline. Also addressed repository state consistency by fixing deletion reflection. This month’s work emphasizes business value, maintainability, and learning-track readiness for new contributors. Key features delivered: - Implemented and added solutions for a wide set of Baekjoon-style problems, including two numbers multiplication, sum, difference, remainder, number comparison, division, quotient, age output, angle measurement, even/odd counting, perfect square check, character repetition, and pattern outputs. Representative commits: 433cd0af..., dc6180b5..., 0f59c6a2..., c5cd636d..., fab7c158..., 642ca82d..., 335a8ac3..., 4def7cf9..., 576a8f80... - Initiated and integrated PGS Level 0 baseline for reference problems to standardize problem coverage and benchmarking. Major bugs fixed: - Reflect file deletion in repository state; ensured changes to file structure are accurately reflected in repo metadata and history (commit 6f87e6ffd...). Overall impact and accomplishments: - Expanded the algorithm library to enhance learning resources and onboarding; improved consistency in problem coverage and commit hygiene; laid groundwork for future automation and testing. Technologies/skills demonstrated: - Algorithm design and implementation across common Baekjoon problems, performance awareness (noted times/memory in commits), effective use of baseline patterns (PGS Level 0), and repo hygiene (deletion reflection).
May 2025
April 2025
8 Commits • 6 Features
Apr 1, 2025April 2025 highlights for CODE-U-S/Coding_Test_Study: Delivered core Java algorithm solutions with documentation and tests, expanded the codebase with a new Java Solutions Suite, and stabilized dependencies to support scalable future work. Key features delivered include Harshad Number Solution, Even and Odd Solution, Sum of Digits Solution, and String Lengths in Array, plus a New Java Solutions Suite with string lengths, DP modulo arithmetic, and phone number masking. Major maintenance included updating subproject references to newer commits to align with Level 2 problems (max/min), improving build consistency and test coverage. No critical defects were reported; documentation and tests were enhanced to accelerate onboarding and future iteration speed. Technologies demonstrated: Java, competitive programming problem solving, README-driven documentation, and repository/dependency maintenance.
April 2025
8 Commits • 6 Features
Apr 1, 2025April 2025 highlights for CODE-U-S/Coding_Test_Study: Delivered core Java algorithm solutions with documentation and tests, expanded the codebase with a new Java Solutions Suite, and stabilized dependencies to support scalable future work. Key features delivered include Harshad Number Solution, Even and Odd Solution, Sum of Digits Solution, and String Lengths in Array, plus a New Java Solutions Suite with string lengths, DP modulo arithmetic, and phone number masking. Major maintenance included updating subproject references to newer commits to align with Level 2 problems (max/min), improving build consistency and test coverage. No critical defects were reported; documentation and tests were enhanced to accelerate onboarding and future iteration speed. Technologies demonstrated: Java, competitive programming problem solving, README-driven documentation, and repository/dependency maintenance.
March 2025
16 Commits • 6 Features
Mar 1, 2025March 2025 monthly summary for CODE-U-S/Coding_Test_Study focusing on algorithmic feature delivery, code quality, and scalable scaffolding. Delivered end-to-end problem-solving solutions and repository hygiene improvements across multiple programming challenges (Programmers and BaekjoonHub contexts), with strong emphasis on reusable scaffolding, performance awareness, and clear traceability to commits.
16 Commits • 6 Features
Mar 1, 2025March 2025 monthly summary for CODE-U-S/Coding_Test_Study focusing on algorithmic feature delivery, code quality, and scalable scaffolding. Delivered end-to-end problem-solving solutions and repository hygiene improvements across multiple programming challenges (Programmers and BaekjoonHub contexts), with strong emphasis on reusable scaffolding, performance awareness, and clear traceability to commits.
March 2025
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Quality Metrics
Correctness95.4%
Maintainability95.4%
Architecture95.0%
Performance90.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CJavaJavaScriptMarkdownPythonSQL
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm implementationArray ManipulationArray ProcessingArray processingBasic ArithmeticBasic MathBasic ProgrammingC ProgrammingCode DeletionConditional LogicData StructuresDatabase Management
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