January 2025 performance summary for peshe/FMI-SDP-2024: Delivered core graph analytics and hashing capabilities with clear demonstrations and documentation. Key features include a C++ Dijkstra's algorithm implementation with a main demo, and Week 13 Hash Tables tasks with implementations for Longest Harmonious Subsequence and Group Anagrams, plus a README and solution scaffolding. Commits: df77e4f, 40f2f541, 364e114d. Impact: enables ready-to-use shortest-path computation and reusable hashing problem templates, accelerating prototyping and validation. Technologies demonstrated: C++, graph algorithms, hash tables, documentation and project structuring.

December 2024 monthly summary for peshe/FMI-SDP-2024: Focused on elevating learning materials and consolidating Week 9–10 data-structures content. Delivered clarified problem descriptions and concrete BST/Trie implementations with accompanying readmes and solution scaffolding. The work enhances student comprehension, accelerates onboarding for new cohorts, and improves repository organization for future curriculum updates.

November 2024 monthly summary for peshe/FMI-SDP-2024 focusing on data-structures practicums and foundational tooling delivered across Weeks 05-08. The work emphasizes practical implementations for linked lists, binary trees, and a basic file system, complemented by documentation improvements to improve clarity and maintainability.

Month 2024-10 — Key features delivered: Implemented Week 4 tasks for Course (Практикум/Общи) in C++ using queues and stacks, covering queue manipulation, a card game simulation, and generation of binary numbers. All solutions organized under peshe/FMI-SDP-2024 in Практикум/Общи/Седмица_04/solutions. Commit 335c13cea611ae92e57b70f5736aa458db7c99aa added the solutions. No major bugs fixed this month; focus remained on completing planned course tasks and improving code quality with careful refactoring and documentation. Overall impact: accelerates course task completion, enhances project readiness for evaluation, and contributes reusable C++ implementations for data-structure-based problems. Technologies/skills demonstrated: C++, standard containers (queues, stacks), algorithmic problem solving, code organization, and version control discipline.