This repository contains my solutions to problems from the NeetCode Roadmap, a carefully curated set of algorithm and data structure problems commonly used in real technical interviews.
The primary goal of this repository is to sharpen my problem-solving skills, strengthen my algorithmic thinking, and train on problems that actually appear in software engineering interviews, rather than solving random or repetitive questions.
I deliberately chose the NeetCode Roadmap for the following reasons:
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High-quality problem selection The problems are chosen carefully to cover the most important data structures and algorithmic patterns used in interviews.
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Unique ideas, not repetition Each problem introduces a new concept or variation. This avoids wasting time on multiple questions that test the same idea with minor changes.
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Interview-focused learning The roadmap emphasizes real interview scenarios, helping me practice how to think, analyze, and solve problems under constraints similar to technical interviews.
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Structured progression Problems are organized by topic and difficulty, allowing for steady and intentional improvement instead of random practice.
For each problem, I aim to:
- Understand the core idea and pattern
- Write clean and readable solutions
- Analyze time and space complexity
- Improve my ability to explain the solution clearly — a critical interview skill
The roadmap covers (but is not limited to):
- Arrays & Hashing
- Two Pointers & Sliding Window
- Stack & Queue
- Binary Search
- Linked Lists
- Trees & Graphs (DFS / BFS)
- Dynamic Programming
- Backtracking & Greedy Algorithms
This repository serves as:
- A personal learning log
- A reference for common interview patterns
- A demonstration of my problem-solving mindset and consistency
Suggestions, optimizations, or alternative approaches are always welcome. Learning is a continuous process, and constructive feedback is part of growth.