
During January 2026, Gourika contributed eight end-to-end algorithmic features to the GDG-IGDTUW/DSA-1 repository, focusing on problems involving strings, arrays, trees, graphs, and streaming analytics. She applied C++ and advanced data structures to deliver modular, reusable solutions such as center-expansion for palindromic substrings, max-heap-based k closest elements, and BFS-driven binary tree serialization. Her work emphasized time and space efficiency, leveraging dynamic programming and recursion for tasks like Word Break II and real-time median calculation. No major bugs were reported, reflecting careful attention to code quality and testability, and her solutions support both educational use and scalable performance.

January 2026 (DSA-1) delivered eight end-to-end algorithmic features spanning strings, arrays, trees, graphs, and streaming analytics, with a strong emphasis on time/space efficiency, modularity, and testability. No major bugs were reported; the focus was on feature delivery, code quality, and reusable components that can be leveraged for interviews and educational material. Business impact includes faster onboarding for learners, reusable solution templates, and improved performance characteristics for large inputs across common DSA problem classes.
January 2026 (DSA-1) delivered eight end-to-end algorithmic features spanning strings, arrays, trees, graphs, and streaming analytics, with a strong emphasis on time/space efficiency, modularity, and testability. No major bugs were reported; the focus was on feature delivery, code quality, and reusable components that can be leveraged for interviews and educational material. Business impact includes faster onboarding for learners, reusable solution templates, and improved performance characteristics for large inputs across common DSA problem classes.
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