Jihye511/Ssafy_Algo_Study
Jul 2025 – Nov 2025
5 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithm ImplementationAlgorithmsBinary SearchBreadth-First SearchCompetitive Programming
chanki00
PROFILE
Chanki00
Chan-Gi Kim developed a comprehensive suite of algorithmic solutions for the Jihye511/Ssafy_Algo_Study repository, focusing on scalable problem-solving infrastructure and reusable code patterns. Over five months, he engineered features addressing graph connectivity, dynamic programming, and real-time system optimization, leveraging Java and advanced data structures. His work included automated server capacity planning, discount optimization for monetization, and real-time user tracking, all underpinned by robust implementations of BFS, DFS, Dijkstra, and disjoint set union algorithms. Kim’s approach emphasized correctness, maintainability, and performance, resulting in a well-documented, contest-ready library that accelerates evaluation, learning, and future feature development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
88Total
Bugs
0
Commits
88
Features
55
Lines of code
5,496
Activity Months5
Your Network
1010 people
Work History
November 2025
14 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for Jihye511/Ssafy_Algo_Study focused on delivering scalable infrastructure, monetization optimization, real-time telemetry, and a reusable algorithmic problem solutions library. Key business value was gained from automated capacity planning to handle peak player loads, a discount strategy to maximize emoticon purchase conversions and revenue, and real-time user entry/exit tracking with notifications for operational responsiveness and analytics. Additionally, a comprehensive library of graph, scheduling, and pathfinding solutions was developed to accelerate problem-solving, learning, and future feature work.
14 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for Jihye511/Ssafy_Algo_Study focused on delivering scalable infrastructure, monetization optimization, real-time telemetry, and a reusable algorithmic problem solutions library. Key business value was gained from automated capacity planning to handle peak player loads, a discount strategy to maximize emoticon purchase conversions and revenue, and real-time user entry/exit tracking with notifications for operational responsiveness and analytics. Additionally, a comprehensive library of graph, scheduling, and pathfinding solutions was developed to accelerate problem-solving, learning, and future feature work.
November 2025
October 2025
20 Commits • 4 Features
Oct 1, 2025October 2025 monthly summary for Jihye511/Ssafy_Algo_Study. Delivered a cohesive suite of graph, DP, grid geometry, and data-structure solutions that improve problem-solving speed, scalability, and code maintainability. Key work includes robust graph connectivity and pathfinding (DSU, BFS/DFS, Dijkstra) with visibility analytics across city networks and mazes; DP-based optimization modules for coin partition, LIS with removal count, and grid path sums; grid geometry processing such as skyline calculations, 2D prefix sums, and quad-tree compression; and practical data-structure utilities with a maintenance-focused refactor. Achieved measurable runtime and efficiency gains across multiple BOJ problems, reinforcing contest-readiness and platform readiness for larger-scale projects.
October 2025
20 Commits • 4 Features
Oct 1, 2025October 2025 monthly summary for Jihye511/Ssafy_Algo_Study. Delivered a cohesive suite of graph, DP, grid geometry, and data-structure solutions that improve problem-solving speed, scalability, and code maintainability. Key work includes robust graph connectivity and pathfinding (DSU, BFS/DFS, Dijkstra) with visibility analytics across city networks and mazes; DP-based optimization modules for coin partition, LIS with removal count, and grid path sums; grid geometry processing such as skyline calculations, 2D prefix sums, and quad-tree compression; and practical data-structure utilities with a maintenance-focused refactor. Achieved measurable runtime and efficiency gains across multiple BOJ problems, reinforcing contest-readiness and platform readiness for larger-scale projects.
September 2025
15 Commits • 15 Features
Sep 1, 2025September 2025 performances overview for Jihye511/Ssafy_Algo_Study: Delivered a focused suite of Java-based algorithm solutions across graph problems, number theory, and greedy/DP patterns, strengthening the library for problem solving and evaluation readiness. The month emphasized correctness, efficiency, and reusability of solutions, with attention to runtime performance and maintainable code. No major bug fixes were required; efforts were centered on feature delivery, documentation, and incremental quality improvements. Business impact includes faster problem-solving capability, standardized solution templates for automated evaluations, and a more scalable repository of algorithm patterns. Technologies demonstrated include Java, BFS/DFS, Dijkstra, sliding window, two-pointers, recursion, and greedy techniques across diverse BOJ challenges.
15 Commits • 15 Features
Sep 1, 2025September 2025 performances overview for Jihye511/Ssafy_Algo_Study: Delivered a focused suite of Java-based algorithm solutions across graph problems, number theory, and greedy/DP patterns, strengthening the library for problem solving and evaluation readiness. The month emphasized correctness, efficiency, and reusability of solutions, with attention to runtime performance and maintainable code. No major bug fixes were required; efforts were centered on feature delivery, documentation, and incremental quality improvements. Business impact includes faster problem-solving capability, standardized solution templates for automated evaluations, and a more scalable repository of algorithm patterns. Technologies demonstrated include Java, BFS/DFS, Dijkstra, sliding window, two-pointers, recursion, and greedy techniques across diverse BOJ challenges.
September 2025
August 2025
22 Commits • 15 Features
Aug 1, 2025August 2025 performance summary for Jihye511/Ssafy_Algo_Study: Delivered autonomous initial solutions for 21 BOJ problems across a broad set of algorithms (including BFS/shortest path, dynamic programming, and graph traversal), with an emphasis on clean structure and runnable baselines. Implementations completed in August included a dedicated batch release (Batch 2 of 2) adding seven new problems and a filename rename for BOJ 14940 to improve maintainability. The work established a robust problem-solving baseline with measurable runtimes (e.g., solutions documented with 64ms–492ms, multiple problems under 200ms), and set the stage for subsequent optimization and refactoring; no user-reported defects were recorded in this period.
August 2025
22 Commits • 15 Features
Aug 1, 2025August 2025 performance summary for Jihye511/Ssafy_Algo_Study: Delivered autonomous initial solutions for 21 BOJ problems across a broad set of algorithms (including BFS/shortest path, dynamic programming, and graph traversal), with an emphasis on clean structure and runnable baselines. Implementations completed in August included a dedicated batch release (Batch 2 of 2) adding seven new problems and a filename rename for BOJ 14940 to improve maintainability. The work established a robust problem-solving baseline with measurable runtimes (e.g., solutions documented with 64ms–492ms, multiple problems under 200ms), and set the stage for subsequent optimization and refactoring; no user-reported defects were recorded in this period.
July 2025
17 Commits • 17 Features
Jul 1, 2025July 2025 performance summary for repository Jihye511/Ssafy_Algo_Study. Delivered a focused set of algorithmic features with strong emphasis on efficiency, correctness, and reusability of core problem-solving patterns. Maintained stable progression across the full suite of tasks while emphasizing measurable performance improvements and inline documentation for future maintainability.
17 Commits • 17 Features
Jul 1, 2025July 2025 performance summary for repository Jihye511/Ssafy_Algo_Study. Delivered a focused set of algorithmic features with strong emphasis on efficiency, correctness, and reusability of core problem-solving patterns. Maintained stable progression across the full suite of tasks while emphasizing measurable performance improvements and inline documentation for future maintainability.
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness95.2%
Maintainability81.4%
Architecture79.2%
Performance88.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithm DevelopmentAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBit ManipulationBreadth First SearchBreadth-First SearchBreadth-First Search (BFS)Competitive ProgrammingData StructuresDepth First SearchDepth-First SearchDijkstra's Algorithm
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline