A systematic approach to mastering Data Structures, Algorithms, and Technical Interview patterns.
This repository is a live log of my algorithmic journey. It documents my solutions to 200+ challenges across platforms like LeetCode and GeeksforGeeks, focusing on optimal time/space complexity and clean code architecture.
My practice focuses on mastering core engineering patterns to ensure technical interview readiness:
- Trees & BSTs: Recursion, DFS, Level-Order, and Pathfinding.
- Graphs: BFS, DFS, Dijkstra, and Topological Sorting.
- Dynamic Programming: Memoization, Tabulation, and State Optimization.
- Arrays & Strings: Sliding Window, Two Pointers, and Binary Search.
- Primary Language: C++ (Standard Template Library)
- Secondary Language: JavaScript (ES6+)
- Sync Tool: Automated via LeetSync for real-time activity tracking.
As a Google Student Ambassador, I ensure every solution meets high industry standards:
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Complexity Analysis: Prioritizing solutions with optimal Time and Space complexities (
$O$ notation). - Readability: Using descriptive variable names and modular logic.
- Robustness: Handling edge cases like empty inputs, overflow, and boundary conditions.
“Consistency is the key to mastery.”