Welcome to my repository of solutions to various coding challenges. This repository serves as a comprehensive showcase of my problem-solving abilities and proficiency in programming. Each solution has been carefully crafted not only to solve the given problems but also to demonstrate best practices in coding and algorithm design.

I am currently open to new opportunities and roles where I can contribute and grow. Feel free to explore my resume and connect with me on LinkedIn.

I welcome suggestions, feedback, and discussions to enhance these solutions. Please feel free to open an issue, a pull request, or reach out to me directly for any queries.

• Diverse Problem Set: Solutions cover a wide range of topics including data structures, algorithms, dynamic programming, and more.
• Google Test Integration: Each solution includes thorough test cases using the Google Test framework, ensuring code reliability and correctness.
• Build Systems: Solutions are organized to be built using either CMake or Bazel, providing flexibility and demonstrating familiarity with modern C++ build tools.

To use this repository, clone it to your local machine. You can build and run the solutions and their tests using either CMake or Bazel.

1. Configure and build the project:

From the root directory run these commands:

mkdir build; cmake -S . -B build; cmake --build build

To build:

bazel build //...

To run the tests:

bazel test //...

This repository is organized into various categories, each focusing on a specific area of programming challenges. Below, you'll find links to each category along with a brief description of what to expect in each.

Challenges that emphasize the use and manipulation of different data structures such as arrays, linked lists, trees, stacks, and graphs. Ideal for understanding the foundational elements of programming.

Problems focusing on algorithmic techniques like sorting, searching, recursion, dynamic programming, and greedy algorithms. These challenges help sharpen problem-solving and computational thinking.

Problems that involve writing efficient and optimized database queries, primarily focusing on SQL. These challenges are great for those who want to enhance their database management skills.

This section contains problems related to designing large-scale systems, focusing on aspects like scalability, system architecture, and design patterns.

This project is open-sourced under the MIT license.