JeongEon8/AlgorithmStudyinGumi
Oct 2025 – Nov 2025
2 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithm ImplementationBFSData StructuresDocumentationGraph Algorithms
한아영
PROFILE
한아영
Over two months, JeongEon8 developed and delivered eight algorithmic features in the JeongEon8/AlgorithmStudyinGumi repository, focusing on graph theory, grid optimization, and ranking algorithms. Using Java and leveraging data structures, BFS, and topological sort, JeongEon8 implemented solutions for problems such as apartment complex counting, course scheduling, and tree manipulation. The work included graph partitioning, pathfinding, and classification, as well as grid-based puzzles and optimization tasks. Each solution emphasized maintainability through clear documentation and complexity notes. The depth of the work is reflected in the variety of algorithms applied and the consistent focus on scalable, reusable code.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
8
Lines of code
1,932
Activity Months2
Your Network
12 people
Work History
November 2025
12 Commits • 5 Features
Nov 1, 2025Month 2025-11 — Delivered a cohesive set of graph, topology, grid-optimization, and ranking algorithms across JeongEon8/AlgorithmStudyinGumi. Implementations include graph partitioning and pathfinding (power grid partition, Ricochet Robot BFS, MooTube BFS), graph topology classification (donut, bar, 8-figure), grid-based optimization puzzles (slope installation, archery strategy, ladder manipulation), optimization and resource planning (Scoville heat index, server expansions, emoticon discounts), and ranking/search enhancements. No major bugs reported; changes improve problem-solving efficiency, code reuse, and technical breadth. Tech stack demonstrates BFS, graph theory, grid DP, and optimization heuristics; clear commit trail supports traceability and knowledge transfer.
12 Commits • 5 Features
Nov 1, 2025Month 2025-11 — Delivered a cohesive set of graph, topology, grid-optimization, and ranking algorithms across JeongEon8/AlgorithmStudyinGumi. Implementations include graph partitioning and pathfinding (power grid partition, Ricochet Robot BFS, MooTube BFS), graph topology classification (donut, bar, 8-figure), grid-based optimization puzzles (slope installation, archery strategy, ladder manipulation), optimization and resource planning (Scoville heat index, server expansions, emoticon discounts), and ranking/search enhancements. No major bugs reported; changes improve problem-solving efficiency, code reuse, and technical breadth. Tech stack demonstrates BFS, graph theory, grid DP, and optimization heuristics; clear commit trail supports traceability and knowledge transfer.
November 2025
October 2025
4 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi: Delivered core algorithmic features with clear performance characteristics, reinforced maintainability, and documentation updates. Focused on business value by enabling faster problem solving, planning decisions, and scalable learning projects.
October 2025
4 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for JeongEon8/AlgorithmStudyinGumi: Delivered core algorithmic features with clear performance characteristics, reinforced maintainability, and documentation updates. Focused on business value by enabling faster problem solving, planning decisions, and scalable learning projects.
Activity
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Quality Metrics
Correctness95.0%
Maintainability82.4%
Architecture82.4%
Performance83.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithm ImplementationBFSData StructuresDocumentationGraph AlgorithmsGraph TraversalJavaJava programmingTopological SortTree Data Structuresalgorithm designalgorithm developmentbacktrackingdata structures
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