Algumithm/study
Feb 2025 – Aug 2025
7 Months active
Languages Used
C++Java
Technical Skills
AlgorithmAlgorithm ImplementationBacktrackingCompetitive ProgrammingDynamic ProgrammingNumber Theory
chomuG
PROFILE
Chomug
Over seven months, contributed to the Algumithm/study repository by developing 33 algorithmic features spanning dynamic programming, graph traversal, combinatorics, and optimization. Delivered reusable C++ and Java solutions for competitive programming, including BFS and DFS solvers, scheduling optimizers, and recursive puzzle solvers such as Tower of Hanoi. Emphasized maintainability through codebase refactoring, documentation cleanup, and consistent file organization, supporting onboarding and reproducibility. Applied data structures, memoization, and priority queues to address problems in scheduling, simulation, and game logic. The work enabled faster problem-solving, scalable test coverage, and clear design patterns, strengthening the repository as a resource for algorithmic practice.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
60Total
Bugs
1
Commits
60
Features
33
Lines of code
3,115
Activity Months7
Your Network
1136 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Algumithm/study Key features delivered: - Tower of Hanoi Puzzle Solver: Added a recursive C++ solver that computes the optimal sequence of moves and stores moves as a 2D vector of [startPeg, endPeg]. Commit 86ab9298deb05191483f138b2237f11cffa79bc5 (하노이읲 탑). Major bugs fixed: - No major bugs fixed documented this month for this repo. Overall impact and accomplishments: - Delivered a non-trivial algorithmic capability in C++, enabling educational exploration of recursion and puzzle-solving; structured move data supports visualization and downstream analysis; strengthens codebase for algorithmic challenges. Technologies/skills demonstrated: - C++, recursion, data structures (2D vector), algorithm design, Git commit discipline, internationalized commit message.
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Algumithm/study Key features delivered: - Tower of Hanoi Puzzle Solver: Added a recursive C++ solver that computes the optimal sequence of moves and stores moves as a 2D vector of [startPeg, endPeg]. Commit 86ab9298deb05191483f138b2237f11cffa79bc5 (하노이읲 탑). Major bugs fixed: - No major bugs fixed documented this month for this repo. Overall impact and accomplishments: - Delivered a non-trivial algorithmic capability in C++, enabling educational exploration of recursion and puzzle-solving; structured move data supports visualization and downstream analysis; strengthens codebase for algorithmic challenges. Technologies/skills demonstrated: - C++, recursion, data structures (2D vector), algorithm design, Git commit discipline, internationalized commit message.
August 2025
July 2025
5 Commits • 4 Features
Jul 1, 2025July 2025 — Monthly performance summary for Algumithm/study. Focused on delivering core capabilities for scheduling, game/utility algorithms, server planning, and movement solvers. Emphasis on business value through improved throughput, resource utilization, and scalable tooling.
July 2025
5 Commits • 4 Features
Jul 1, 2025July 2025 — Monthly performance summary for Algumithm/study. Focused on delivering core capabilities for scheduling, game/utility algorithms, server planning, and movement solvers. Emphasis on business value through improved throughput, resource utilization, and scalable tooling.
June 2025
10 Commits • 10 Features
Jun 1, 2025June 2025 performance summary for Algumithm/study: Delivered a portfolio of algorithmic features and codebase improvements that enhance competitive programming problem-solving capabilities, performance, and maintainability. Implementations span combinatorial generation, dynamic programming optimizations, graph traversal, and radix-based arithmetic, underpinned by clean code organization and refactoring. These efforts reduce cycle time for solving new problems, enable reusable patterns, and improve code quality across the repository.
10 Commits • 10 Features
Jun 1, 2025June 2025 performance summary for Algumithm/study: Delivered a portfolio of algorithmic features and codebase improvements that enhance competitive programming problem-solving capabilities, performance, and maintainability. Implementations span combinatorial generation, dynamic programming optimizations, graph traversal, and radix-based arithmetic, underpinned by clean code organization and refactoring. These efforts reduce cycle time for solving new problems, enable reusable patterns, and improve code quality across the repository.
June 2025
May 2025
11 Commits • 9 Features
May 1, 2025May 2025 performance snapshot for Algumithm/study shows broad feature delivery across algorithmic domains with an emphasis on reusable patterns, performance, and maintainability. Delivered a multi-problem BFS-based Solvers Suite, reinforced with concrete optimizations and constraint-handling techniques. Implemented diverse algorithmic solutions that map to business value in education tooling and competitive programming workflows, enabling faster problem-solving, clearer design patterns, and scalable test coverage.
May 2025
11 Commits • 9 Features
May 1, 2025May 2025 performance snapshot for Algumithm/study shows broad feature delivery across algorithmic domains with an emphasis on reusable patterns, performance, and maintainability. Delivered a multi-problem BFS-based Solvers Suite, reinforced with concrete optimizations and constraint-handling techniques. Implemented diverse algorithmic solutions that map to business value in education tooling and competitive programming workflows, enabling faster problem-solving, clearer design patterns, and scalable test coverage.
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Algumithm/study: Focused delivery of a Competitive Programming Practice Problems feature set (DP/Greedy/Grid/Optimization) paired with codebase housekeeping to improve consistency and maintainability. The work enhances problem-solving templates, traceability, and onboarding for new contributors.
11 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Algumithm/study: Focused delivery of a Competitive Programming Practice Problems feature set (DP/Greedy/Grid/Optimization) paired with codebase housekeeping to improve consistency and maintainability. The work enhances problem-solving templates, traceability, and onboarding for new contributors.
April 2025
March 2025
16 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for Algumithm/study. Delivered a diversified set of algorithmic solutions across graph algorithms, dynamic programming, backtracking, and data-structure driven problems, complemented by codebase hygiene improvements. Key features delivered include a Graph Traversal and All-Pairs Shortest Paths suite (DFS for connected components, BFS for grid shortest paths, Floyd-Warshall for APSP) and a collection of Dynamic Programming core problems (coin change, tiling, palindrome subarrays, LCS variants, and file merging). Additional work includes a backtracking and game-state analysis module (TSP and Tic-Tac-Toe state checks), an Online Median Maintenance solution using two heaps with IO considerations, and a Card Game Simulation using deque operations. Notable maintenance work involved codebase cleanup by renaming and reorganizing files for readability. Impact: expanded ready-to-run algorithmic templates, improved onboarding and collaboration, and reinforced performance-oriented coding practices. Technologies/skills demonstrated: C++, graph algorithms, dynamic programming, backtracking, data structures (heaps, deque), IO optimization, and codebase hygiene. Business value: faster solution delivery, clearer templates for future problems, and reduced maintenance risk.
March 2025
16 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for Algumithm/study. Delivered a diversified set of algorithmic solutions across graph algorithms, dynamic programming, backtracking, and data-structure driven problems, complemented by codebase hygiene improvements. Key features delivered include a Graph Traversal and All-Pairs Shortest Paths suite (DFS for connected components, BFS for grid shortest paths, Floyd-Warshall for APSP) and a collection of Dynamic Programming core problems (coin change, tiling, palindrome subarrays, LCS variants, and file merging). Additional work includes a backtracking and game-state analysis module (TSP and Tic-Tac-Toe state checks), an Online Median Maintenance solution using two heaps with IO considerations, and a Card Game Simulation using deque operations. Notable maintenance work involved codebase cleanup by renaming and reorganizing files for readability. Impact: expanded ready-to-run algorithmic templates, improved onboarding and collaboration, and reinforced performance-oriented coding practices. Technologies/skills demonstrated: C++, graph algorithms, dynamic programming, backtracking, data structures (heaps, deque), IO optimization, and codebase hygiene. Business value: faster solution delivery, clearer templates for future problems, and reduced maintenance risk.
February 2025
6 Commits • 2 Features
Feb 1, 2025February 2025 — Algumithm/study: Maintained repository hygiene and expanded algorithmic solution coverage. Key deliverables included documentation cleanup and the addition of competitive programming solutions across backtracking, DP, and sieve-based methods. No production feature changes were released this month; maintenance work improves onboarding and reproducibility, and enhances future development velocity.
6 Commits • 2 Features
Feb 1, 2025February 2025 — Algumithm/study: Maintained repository hygiene and expanded algorithmic solution coverage. Key deliverables included documentation cleanup and the addition of competitive programming solutions across backtracking, DP, and sieve-based methods. No production feature changes were released this month; maintenance work improves onboarding and reproducibility, and enhances future development velocity.
February 2025
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Quality Metrics
Correctness91.6%
Maintainability80.6%
Architecture78.2%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Java
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsBacktrackingBinary SearchBreadth-First SearchBreadth-First Search (BFS)Budget AllocationC++CombinatoricsCompetitive ProgrammingData StructuresDepth First SearchDijkstra's Algorithm
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