TeogopK/Data_Structures_and_Algorithms_FMI
Nov 2024 – Oct 2025
3 Months active
Languages Used
C++JavaScriptMarkdownC
Technical Skills
Algorithm DesignAlgorithmsBacktrackingBinary SearchBinary TreesBreadth-First Search
Mihail Tsankov
PROFILE
Mihail Tsankov
Mihail Tsankov developed a suite of algorithmic solutions and documentation enhancements for the TeogopK/Data_Structures_and_Algorithms_FMI repository over three months. He implemented features spanning linked lists, stacks, binary trees, dynamic programming, and graph algorithms, using C++ and JavaScript to address problems such as merging lists, scheduling tasks, and finding shortest paths with Dijkstra’s algorithm. Mihail emphasized maintainability by improving documentation, including external references for sorting algorithms, which streamlined onboarding and knowledge sharing. His work demonstrated depth in data structures and algorithm design, providing reusable code and clear explanations that support both technical learning and future development efficiency.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
10
Lines of code
2,633
Activity Months3
Your Network
14 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on documentation quality and onboarding efficiency for the TeogopK/Data_Structures_and_Algorithms_FMI repository. Implemented Intro Sort Documentation Enhancement by linking a Medium article in the README to clarify the Intro sort algorithm for users and contributors. This minor, targeted documentation update reduces onboarding time and support queries by providing a clear external reference. No major bugs fixed this month; maintenance centered on clarity and knowledge sharing. Overall impact: improved maintainability, faster ramp-up for new contributors, and clearer guidance on algorithm choices across the project.
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on documentation quality and onboarding efficiency for the TeogopK/Data_Structures_and_Algorithms_FMI repository. Implemented Intro Sort Documentation Enhancement by linking a Medium article in the README to clarify the Intro sort algorithm for users and contributors. This minor, targeted documentation update reduces onboarding time and support queries by providing a clear external reference. No major bugs fixed this month; maintenance centered on clarity and knowledge sharing. Overall impact: improved maintainability, faster ramp-up for new contributors, and clearer guidance on algorithm choices across the project.
October 2025
December 2024
3 Commits • 3 Features
Dec 1, 2024December 2024: Delivered three weekly algorithm problem sets for TeogopK/Data_Structures_and_Algorithms_FMI, focusing on data structures and graph algorithms. Key features delivered include Week 09 solutions for data-structure problems using priority queues; Week 10 graph problems solved with DFS/BFS; and Week 11 graph traversal and shortest path solutions implemented with BFS and Dijkstra. Major bugs fixed: none recorded in the provided data. Overall impact: expanded algorithmic problem-solving coverage and learning material, improved readiness for technical interviews, and maintained a clean, incremental commit history. Technologies/skills demonstrated: priority queues, DFS, BFS, Dijkstra, graph theory, and data-structure problem solving.
December 2024
3 Commits • 3 Features
Dec 1, 2024December 2024: Delivered three weekly algorithm problem sets for TeogopK/Data_Structures_and_Algorithms_FMI, focusing on data structures and graph algorithms. Key features delivered include Week 09 solutions for data-structure problems using priority queues; Week 10 graph problems solved with DFS/BFS; and Week 11 graph traversal and shortest path solutions implemented with BFS and Dijkstra. Major bugs fixed: none recorded in the provided data. Overall impact: expanded algorithmic problem-solving coverage and learning material, improved readiness for technical interviews, and maintained a clean, incremental commit history. Technologies/skills demonstrated: priority queues, DFS, BFS, Dijkstra, graph theory, and data-structure problem solving.
November 2024
10 Commits • 6 Features
Nov 1, 2024November 2024 (2024-11) – Monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI. Focused on delivering practical algorithmic capabilities across linked lists, stacks/deques, trees, and dynamic programming, with accompanying documentation improvements to support maintainability and knowledge sharing. Business value comes from expanding reusable solutions and a clear problem-solving playbook that accelerates future feature work and training.
10 Commits • 6 Features
Nov 1, 2024November 2024 (2024-11) – Monthly summary for TeogopK/Data_Structures_and_Algorithms_FMI. Focused on delivering practical algorithmic capabilities across linked lists, stacks/deques, trees, and dynamic programming, with accompanying documentation improvements to support maintainability and knowledge sharing. Business value comes from expanding reusable solutions and a clear problem-solving playbook that accelerates future feature work and training.
November 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability88.6%
Architecture89.4%
Performance92.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++JavaScriptMarkdown
Technical Skills
Algorithm DesignAlgorithmsBacktrackingBinary SearchBinary TreesBreadth First Search (BFS)Breadth-First SearchC++Data StructuresDepth First Search (DFS)Depth-First SearchDequeDijkstra's AlgorithmDocumentationDynamic Programming
Repositories Contributed To
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