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
Contributed to the TeogopK/Data_Structures_and_Algorithms_FMI repository by developing a suite of algorithmic solutions and educational materials over two months. Focused on practical implementations in C and C++, the work included hands-on code for tree traversals, graph algorithms, and string manipulation, with clear explanations in both English and Bulgarian to enhance accessibility. Delivered reusable modules such as a StockPrice data structure using C++ STL, prefix-sum optimizations for path counting, and Kruskal’s algorithm for minimum spanning trees. Emphasized maintainable, well-documented code and targeted commit practices, supporting both independent learning and curriculum readiness for data structures and algorithms coursework.
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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