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🧠 The LeetCode Architect Approach

🎯 My Goal

I am building this repository to develop strong problem-solving skills by focusing on intuition, pattern recognition, and reusable techniques, rather than memorizing solutions.


⚙️ My Constraints

  • I do not jump directly to the optimal solution.

  • I always follow the learning path:

    Brute Force → Pattern Identification → Optimization

  • I avoid looking at full solutions unless absolutely necessary.

  • I focus on understanding why a solution works.


🧩 How I Analyze Every Problem

🧩 Pattern Recognition

  • I first identify which category the problem belongs to (e.g., Sliding Window, Graphs, DP, etc.)

  • I look for key signals:

    • Contiguous subarray → Sliding Window
    • Traversal → Graph/Tree
    • Choices/Overlapping subproblems → DP

💡 My Thinking Process

  • I start with a brute-force approach to understand the problem.
  • Then I try to identify patterns or optimizations.
  • I refine the solution step by step instead of jumping to the final answer.

⏱️ Complexity Goals

  • I aim to improve from brute-force complexity to an optimal one.

  • I always ask:

    • Can this be done in O(n)?
    • Can I reduce space usage?

⚠️ Edge Cases I Consider

  • Empty input
  • Single element cases
  • Boundary conditions
  • Large inputs / overflow scenarios

🧠 My Learning Objective

For every problem, my goal is to:

  • Re-derive the solution from scratch
  • Understand the underlying pattern deeply
  • Be able to solve similar problems in the future

🚀 End Goal

To build a repository that reflects:

  • Clear thinking
  • Strong fundamentals
  • Interview-level problem-solving ability

“I don’t aim to remember solutions. I aim to understand patterns so deeply that I can rebuild solutions from scratch.”

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Consistent practice of Data Structures and Algorithms on LeetCode. Includes optimized solutions with clean code, comments, and problem-solving approaches.

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