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FAANG Preparation: My Coding Journey & Insight

Faang preparation , Coding Tutorial and AI/ML preparation Title Image

Sharing my journey to crack FAANG with
coding tutorials, projects, and interview tips.

Start Your Journey

Join me as I take you through my step-by-step process of preparing for FAANG interviews. First and foremost, I’ll cover essential coding tutorials. Next, I’ll move on to practical projects, data structures, and AI/ML knowledge. Furthermore, you can follow along as I dive deep into algorithms. Additionally, I will tackle coding challenges and showcase a variety of projects. These insights will guide you. They will help you land your dream job at one of the top tech companies.

Who Am I?

Aspiring Software Developer | MERN Stack Learner | AI/ML Enthusiast

I am Aayush Gambhir, a first-year BCA student at VIPS, Delhi. passionate about securing a software development role at leading MNCs like FAANG and MAANG. So, I constantly improve my skills in programming languages like Java, C, and DSA. I actively work on real-world projects and coding challenges.

I have completed a software engineering simulation with Goldman Sachs I have also worked as a marketing intern. During this time, I worked my skills in creating and executing marketing strategies.

Key Skills:

  • Languages: Java, C, Python
  • Frameworks: MERN Stack, TensorFlow
  • Focus Areas: Data Structures & Algorithms, AI/ML
  • Projects: Web Development, Open-Source Contributions
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From the Blog

My Projects

I strongly believe in learning by doing. Throughout my journey, I have worked on a variety of coding projects. They show my dedication to solving real-world problems. These projects also show my growth as a developer. Additionally, I have conducted several AI/ML experiments, which have further strengthened my technical skillset. As a result, my work covers web development, open-source contributions, and the development of machine learning models. Ultimately, these experiences have prepared me to tackle complex coding challenges with confidence.

  • GitHub :- Explore my GitHub to see my latest projects, from full-stack web apps to contributions to open-source projects.
  • LinkedIn :- Connect with me on LinkedIn to follow my coding journey and professional development.
  • Portfolio Website :- Dive into my portfolio for a detailed look at the projects I’ve built. This includes real-world coding challenges and AI/ML experiments.

Whether building websites , preparing for interview and experimenting with new tech. I’m always there to learn and share. You can join me in this exciting path to learn and grow