Developed a scalable framework for practicing algorithmic problems in the DaleStudy/leetcode-study repository, focusing on reusable and well-structured Python solutions. Delivered implementations for four LeetCode challenges, including Contains Duplicate, Two Sum, Top K Frequent Elements, and Longest Consecutive Sequence, utilizing data structures such as sets, hash maps, and heaps. Organized code into dedicated directories to enhance maintainability and facilitate rapid onboarding for new contributors. Improved code readability and consistency through targeted formatting updates, while maintaining clear commit-level documentation. The work emphasized modular design and traceability, supporting efficient performance reviews and collaborative development within the context of algorithm practice.