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JunSeok-Yun

PROFILE

Junseok-yun

Over six months, Uijin Song developed and maintained the Problem-solve-study/code-store repository, delivering 45 algorithmic features and addressing a range of competitive programming challenges. He engineered solutions using Java and C++, applying dynamic programming, graph traversal, and data structure techniques to problems such as scheduling, grid analytics, and string manipulation. His work emphasized reusable templates, efficient input validation, and scalable performance patterns like binary search and bitmasking. Uijin consistently improved code maintainability through clear documentation and standardized structure, enabling rapid onboarding and reliable solution reuse. The depth of his engineering ensured robust, high-quality solutions for both practice and real-world scenarios.

Overall Statistics

Feature vs Bugs

98%Features

Repository Contributions

53Total
Bugs
1
Commits
53
Features
45
Lines of code
2,165
Activity Months6

Work History

June 2025

4 Commits • 4 Features

Jun 1, 2025

June 2025 — Problem-solve-study/code-store: Delivered four algorithm-focused features (BOJ 2716, 9625, 20921, 12782) with clear commit histories, enabling faster problem-solving automation and more reliable solution checks. Implemented depth calculation for resource planning, DP-based counting, array transformation with state visibility, and multi-test binary string operations. These deliverables improve tooling value for competitive programming work and provide reusable algorithmic templates for future tasks. Strengthened code quality with consistent testing and documentation across commits.

May 2025

8 Commits • 8 Features

May 1, 2025

Month: 2025-05 | Repository: Problem-solve-study/code-store Overview: The month focused on delivering robust, scalable algorithmic features across scheduling, optimization, and data-processing problems. No explicit major bugs reported this period; work emphasized correctness, performance, and reproducible changes with clear commit traceability. Key features delivered (with representative commits): - BOJ 17262 - Interval Overlap Length Calculator: computes overlapping duration among intervals (commit f2cd623b13db62db82899d3598efa6326cf0bf1f). Returns 0 when no overlap. Use-case: scheduling conflict checks. - BOJ 22871 - Minimum Jump Cost DP: DP solution to minimize end-to-end jump costs considering absolute differences (commit 3103547dc7d9cceaf51dbf01a6357705d80c5fb9). - BOJ 2428 - Efficient Pair Counting: counts pairs with a large-input efficient approach (sort + two-pointer + binary search) (commit 4bed1d683e9c07b41e3ae09bff03e3d0e8254aff). - BOJ 25707 - Sum of Absolute Differences in Sorted Array: sums adjacent differences to capture total data range (commit 0cf35af816cfce1dd581b8f59603e2437162c6dc). - BOJ 15553 - Min Time to Cover with Tents: finds minimum time difference to cover N children with K tents via smallest consecutive start-time differences (commit b66575561c0ebab72bc7237e8cd1f388361fe423). - BOJ 1057 - Rounds Until Meeting in Tournament: simulates halving rounds until two meet (commit 16446c94223eb59996d4e408976b3a1c055190eb). - BOJ 30088 - Sum/Sort/Prefix Sum Based Result: data processing with reading, sorting, and prefix sums (commit 369365bdbee5e63410ce681e47c48a48ad070696). - BOJ 9536 - Fox's Sounds Filtering: filters out known animal sounds from a sentence (commit 670afb8df164d027120898039d29fc057e625c12). - Additional note: All items emphasize correctness, O(n log n) or better performance patterns where applicable. Technologies/skills demonstrated: algorithm design and optimization, dynamic programming, two-pointer and binary-search techniques, sorting and prefix-sums, interval analysis, and problem-solving discipline with commit-level traceability. Overall impact and accomplishments: Expanded the repository’s capability to solve a diverse set of algorithmic problems with practical business value such as improved scheduling conflict detection, cost-efficient routing, scalable pair counting for large datasets, and robust data-processing workflows. The work enhances reliability of algorithmic solutions and provides a solid foundation for rapid problem-solving practice and future feature expansion.

April 2025

16 Commits • 16 Features

Apr 1, 2025

April 2025 (2025-04) performance summary for Problem-solve-study/code-store: Delivered a broad suite of algorithmic solutions and validators, strengthening problem-solving patterns, code quality, and performance. Implemented BFS-driven grid analytics (Grid Color Power), a reliable stack-based validator for parentheses and brackets, ranking by height and weight, and modular arithmetic utilities, along with advanced DP and graph techniques (TSP DP with bitmasks, Kevin Bacon distance sums). Also introduced efficient grid traversal rules and binary search optimizations, reinforcing reusable templates and faster delivery for contest-style challenges. This month’s work demonstrates strong business value by increasing solution velocity, correctness, and scalability of the repository.

March 2025

6 Commits • 5 Features

Mar 1, 2025

March 2025 performance summary for Problem-solve-study/code-store. Delivered core algorithmic features, improved code quality, and fixed key input-handling issues. Highlights include a divide-and-conquer solution for BOJ 2630, a DP-based path reconstruction for BOJ 12852, a Naming Convention Converter (Java/C++), and a precise word-frequency counter for BOJ 4358, along with a bug fix for BOJ 3613 edge-case input validation. These contributions enhance solution reuse, reduce troubleshooting time, and strengthen maintainability through consistent validation and documentation across languages. Technologies demonstrated include Java and C++ cross-language tooling, dynamic programming, divide-and-conquer algorithms, robust input validation, and precise numeric formatting.

February 2025

11 Commits • 4 Features

Feb 1, 2025

February 2025 — Problem-solve-study/code-store delivered a substantial upgrade to the algorithm template library, focusing on reusable, high-value patterns for BOJ-style problems. The work expanded the repository with optimized dynamic programming solutions, BFS and DFS/backtracking templates, and a recursive storytelling example to reinforce recursion concepts. No major bugs were reported; maintenance focused on consistency and quality across templates.

January 2025

8 Commits • 8 Features

Jan 1, 2025

January 2025 highlights: Problem-solve-study/code-store delivered a focused set of Java-based algorithmic solutions across DP, DFS, backtracking, and stack parsing. The work expands practice coverage, demonstrates scalable problem-solving patterns, and enhances repository maintainability. No explicit bug fixes were documented this month.

Activity

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Quality Metrics

Correctness95.4%
Maintainability82.6%
Architecture77.8%
Performance85.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

AlgorithmAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBitmaskingBreadth-First SearchBreadth-First Search (BFS)CombinatoricsCompetitive ProgrammingData StructuresDepth-First SearchDivide and ConquerDynamic ProgrammingEuclidean Algorithm

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Problem-solve-study/code-store

Jan 2025 Jun 2025
6 Months active

Languages Used

Java

Technical Skills

AlgorithmAlgorithm ImplementationBacktrackingCombinatoricsCompetitive ProgrammingData Structures

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