peshe/FMI-SDP-2024
Nov 2024 – Jan 2025
3 Months active
Languages Used
C++
Technical Skills
Algorithm ImplementationData StructuresObject-Oriented ProgrammingAlgorithmsBinary TreesC++
dobrindobrev
PROFILE
Dobrindobrev
Dobrincho developed and expanded hands-on learning resources in the peshe/FMI-SDP-2024 repository, focusing on C++ implementations of core data structures and algorithms. Over three months, he delivered a binary tree demonstration, a reverse index movie search database, and a suite of practice exercises for students. His technical approach emphasized algorithm design, object-oriented programming, and clear code organization, with features such as binary tree traversals, path sum calculations, and generic map-based search functionality. The work provided robust, ready-to-use materials that support scalable student onboarding and practice, demonstrating depth in C++ and data structures without recorded bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
5
Lines of code
800
Activity Months3
Work History
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) concentrated on delivering core search capability improvements and enriching learning resources for Group C. The work centered on a reverse index movie search database in C++, plus adding new learning materials to Group C.
3 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) concentrated on delivering core search capability improvements and enriching learning resources for Group C. The work centered on a reverse index movie search database in C++, plus adding new learning materials to Group C.
January 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for peshe/FMI-SDP-2024: Focused delivery of learning materials and foundational code for binary trees. Implemented and documented a Binary Trees Learning Module including PDFs for Exercise 8 and Exercise 9, plus a C++ implementation (8_solution.cpp) providing binary tree structures, traversals (inorder, preorder, postorder), path sums, leaf counting, and lowest common ancestor (LCA). No separate bug fixes recorded this period; the emphasis was on feature creation, code quality, and documentation.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for peshe/FMI-SDP-2024: Focused delivery of learning materials and foundational code for binary trees. Implemented and documented a Binary Trees Learning Module including PDFs for Exercise 8 and Exercise 9, plus a C++ implementation (8_solution.cpp) providing binary tree structures, traversals (inorder, preorder, postorder), path sums, leaf counting, and lowest common ancestor (LCA). No separate bug fixes recorded this period; the emphasis was on feature creation, code quality, and documentation.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024: Expanded student practice materials in peshe/FMI-SDP-2024 and delivered a practical C++ binary tree demonstration. These efforts enhance hands-on learning, enable scalable content delivery, and provide tangible code examples to illustrate data structures and algorithms. No major bugs fixed this month based on available data.
2 Commits • 2 Features
Nov 1, 2024November 2024: Expanded student practice materials in peshe/FMI-SDP-2024 and delivered a practical C++ binary tree demonstration. These efforts enhance hands-on learning, enable scalable content delivery, and provide tangible code examples to illustrate data structures and algorithms. No major bugs fixed this month based on available data.
November 2024
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture92.6%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Algorithm DesignAlgorithm ImplementationAlgorithmsBinary TreesC++Data StructuresDoubly Linked ListsObject-Oriented Programming
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