SSAFYnity/Job-Preparation-Challenge-4th
Jan 2025 – Jan 2025
1 Month active
Languages Used
Java
Technical Skills
AlgorithmBacktrackingCachingData StructuresDepth First SearchGreedy Algorithm
김인호
PROFILE
김인호
Developed the Coding Challenge Solutions Suite for the SSAFYnity/Job-Preparation-Challenge-4th repository, consolidating four user-facing algorithmic solutions into a single, reusable codebase. The work focused on implementing efficient algorithms in Java, utilizing skills such as backtracking, caching, depth-first search, and greedy methods to address problems like LRU cache simulation, minimum-cost optimization, and maximum-sum grid traversal. Each solution included explicit performance benchmarks and traceable commits, supporting maintainability and reviewability. The suite was designed for demonstration to stakeholders and potential reuse in candidate evaluation pipelines, emphasizing correctness, efficiency, and clear problem-solving approaches across all delivered features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
265
Activity Months1
Your Network
1142 peopleWork History
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 — Delivered the Coding Challenge Solutions Suite for SSAFYnity/Job-Preparation-Challenge-4th, consolidating four user-facing algorithmic solutions: Cookie's Body Measurement, 1차캐시 LRU cache simulation, Meat Shop minimum-cost purchase optimization, and Tetromino maximum-sum search using DFS. Achievements include successful feature delivery across all problems with traceable commits, and explicit performance metrics per problem (Cookie: 164ms 20876kb; 1차캐시: 40.70ms 108mb; Meat Shop: 416ms 42732mb; Tetromino: 792ms 35844kb). This work demonstrates correctness, efficiency, and maintainability, enabling effective demonstrations to stakeholders and potential reuse in future evaluation pipelines.
4 Commits • 1 Features
Jan 1, 2025January 2025 — Delivered the Coding Challenge Solutions Suite for SSAFYnity/Job-Preparation-Challenge-4th, consolidating four user-facing algorithmic solutions: Cookie's Body Measurement, 1차캐시 LRU cache simulation, Meat Shop minimum-cost purchase optimization, and Tetromino maximum-sum search using DFS. Achievements include successful feature delivery across all problems with traceable commits, and explicit performance metrics per problem (Cookie: 164ms 20876kb; 1차캐시: 40.70ms 108mb; Meat Shop: 416ms 42732mb; Tetromino: 792ms 35844kb). This work demonstrates correctness, efficiency, and maintainability, enabling effective demonstrations to stakeholders and potential reuse in future evaluation pipelines.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness97.6%
Maintainability85.0%
Architecture85.0%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmBacktrackingCachingData StructuresDepth First SearchGreedy AlgorithmGrid TraversalProblem SolvingSorting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline