The interview started with a small technical hiccup with the webcam, which took a little time to sort out. Once that was resolved, things got interesting.

I was given a problem and asked to use any AI tool to solve it and build a working MVP within 30 minutes. The main focus was not just on the final product, but on how effectively we could prompt AI, iterate, debug, and actually work with AI as a development tool. I wasn't able to complete the MVP fully within the given time, but it was definitely an interesting experience and showed how important AI-assisted development has become.

After that, the interview moved into AI/ML fundamentals, with questions like:

What is an LLM? Precision vs Recall What is RAG and how does it work? Basic AI/ML concepts

They then moved to OOP fundamentals, followed by a Git/GitHub-based question about how you would identify a faulty branch in a codebase.

Overall, it was a good mix of AI, development, fundamentals, and practical problem-solving rather than just textbook questions.

I couldn't crack this one, but hey, one interview going sideways doesn't mean the journey does.

Motivation : Keep showing up, keep improving, keep getting better at handling the pressure , one day, the “Congratulations!” mail is going to hit.