TeogopK/Data_Structures_and_Algorithms_FMI
Nov 2024 – Jan 2025
2 Months active
Languages Used
C++MarkdownC
Technical Skills
AlgorithmAlgorithm ExplanationAlgorithmsBreadth-First SearchC++ STLData Structures
kostadinrusalov
PROFILE
Kostadinrusalov
Rusalov developed a suite of data structure and algorithm learning materials and practical implementations in the TeogopK/Data_Structures_and_Algorithms_FMI repository. Over two months, he delivered features such as Bulgarian-language algorithm explanations, hands-on C++ solutions for problems like Sliding Window Maximum, and reusable modules for tree traversal and graph algorithms. His work included efficient implementations of Kruskal’s algorithm for minimum spanning trees, prefix-sum optimizations, and both DFS and BFS approaches for tree problems. Using C++ and leveraging STL containers, Rusalov focused on code clarity, maintainability, and educational value, producing well-documented, accessible resources for coursework and independent study.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
7
Lines of code
772
Activity Months2
Your Network
16 peopleSame Organization
@uni-sofia.bg2
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for developer performance review focusing on business value and technical achievements. Repository: TeogopK/Data_Structures_and_Algorithms_FMI. Key features delivered: - Week 12 DSA practicum solutions implemented: graph traversal (path existence), Minimum Spanning Tree using Kruskal's algorithm, minimum cost to connect points, and the Really Special Subtree cost. Major bugs fixed: - No major bugs reported this month; codebase stable as features were implemented and integrated. Overall impact and accomplishments: - Delivered end-to-end DSA practicum solutions, enabling reliable coursework material and practical demonstrations of graph algorithms. - Created reusable, well-structured algorithm implementations suitable for teaching materials and future projects. - Improved maintainability and traceability through a targeted commit that documents the Week 12 solutions. Technologies/skills demonstrated: - Graph algorithms: DFS/BFS for path existence, Kruskal MST, minimum cost to connect points, and subtree cost logic. - Problem solving and algorithm design for practical coursework challenges. - Version control discipline with clear, focused commit messages. - Code organization and documentation suitable for educational resources. Business value: - accelerates curriculum readiness, reduces dependency on external resources, and provides transparent, maintainable implementations that can be reused by students and other teams.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for developer performance review focusing on business value and technical achievements. Repository: TeogopK/Data_Structures_and_Algorithms_FMI. Key features delivered: - Week 12 DSA practicum solutions implemented: graph traversal (path existence), Minimum Spanning Tree using Kruskal's algorithm, minimum cost to connect points, and the Really Special Subtree cost. Major bugs fixed: - No major bugs reported this month; codebase stable as features were implemented and integrated. Overall impact and accomplishments: - Delivered end-to-end DSA practicum solutions, enabling reliable coursework material and practical demonstrations of graph algorithms. - Created reusable, well-structured algorithm implementations suitable for teaching materials and future projects. - Improved maintainability and traceability through a targeted commit that documents the Week 12 solutions. Technologies/skills demonstrated: - Graph algorithms: DFS/BFS for path existence, Kruskal MST, minimum cost to connect points, and subtree cost logic. - Problem solving and algorithm design for practical coursework challenges. - Version control discipline with clear, focused commit messages. - Code organization and documentation suitable for educational resources. Business value: - accelerates curriculum readiness, reduces dependency on external resources, and provides transparent, maintainable implementations that can be reused by students and other teams.
January 2025
November 2024
6 Commits • 6 Features
Nov 1, 2024November 2024 monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI. Focused on delivering practical, accessible, and high-quality algorithm learning materials and implementations. Key deliverables include new Bulgarian explanations and hands-on code for the Sliding Window Maximum, Practicum 6 content with a StockPrice data structure, DFS-based N-ary tree depth computation, a prefix-sum optimized Path Sum III solution, and a BFS-based Binary Tree Right Side View. These efforts improve accessibility, practice opportunities, and algorithm efficiency across core data-structure topics, with clean C++ implementations and README updates to facilitate independent learning and practical exercises.
November 2024
6 Commits • 6 Features
Nov 1, 2024November 2024 monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI. Focused on delivering practical, accessible, and high-quality algorithm learning materials and implementations. Key deliverables include new Bulgarian explanations and hands-on code for the Sliding Window Maximum, Practicum 6 content with a StockPrice data structure, DFS-based N-ary tree depth computation, a prefix-sum optimized Path Sum III solution, and a BFS-based Binary Tree Right Side View. These efforts improve accessibility, practice opportunities, and algorithm efficiency across core data-structure topics, with clean C++ implementations and README updates to facilitate independent learning and practical exercises.
Activity
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Quality Metrics
Correctness93.0%
Maintainability85.6%
Architecture87.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Markdown
Technical Skills
AlgorithmAlgorithm ExplanationAlgorithmsBreadth-First SearchC++ STLData StructuresDepth First SearchDepth-First SearchDisjoint Set Union (DSU)Graph AlgorithmsHash MapsHashingKruskal's AlgorithmMinimum Spanning Tree (MST)Problem Solving
Repositories Contributed To
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