u/hamiduzayr

https://preview.redd.it/q7zlvg7b1w5h1.png?width=855&format=png&auto=webp&s=f85c55fbaa928020cd83e2e59d486836f5817cc3

https://preview.redd.it/p6zer1c41w5h1.png?width=1872&format=png&auto=webp&s=91f2a2ae34532728ea70448ac13bd51aa1cbf8cd

Resumed my DSA prep with Binary search questions.

I've been trying to build something similar to the Essential Space way before I bought a Nothing Phone. I stopped working on it when I came across Essential Space.

But don't you think it has so much potential which hasn't been implemented in it yet?

I'm using Github for syncing across my Linux - Android environment, and honestly it works smoothly.

Just that you can't forget to pull changes on your phone, apart from that everything happens automatically.

I received the mail about getting shortlisted for Associate role, and my Interview is scheduled on 3rd June.

Is anyone else shortlisted for Interview in Bangalore?
And please share your Interview experience if already done.

EDIT:

Attended the technical interview today.
There were 2 interviewers, one right infront of me and the other on the superset call on laptop.

Honestly, for the Associate role, I think my interviewers went too far and difficult.

Other candidates who attended at the same time in different interview rooms said they were asked to "reverse a string" and check if it's a palindrome.

I got a coding question "Build an app using React for Frontend and Python as Backend" and gave me a scenario.

That was not possible to do in that interview. So I pointed it out to them, later they asked me to just use python and mock it.

Then they asked me questions about:

• my projects
• What is RAG? What is the procedure?
• LLMs. Models.
• React based questions
• Resume based questions
• Transformers
• Cloud fundamentals
• Agentic AI vs AI Agents
• Prompt Engineering techniques

And much more. The Interview went on for 1 hour 30 minutes

May 13, 2026

Section 1: Problem Solving -- Easy Level DSA Question

Section 2: Front End Framework -- Build an Address Component Functionality in an E-Commerce App (React.js)

Section 3: Prompt Engineering -- Build a prompt for classifying relevance

Section 4: RAG -- Build a mini RAG preprocessing pipeline

Section 5: MCQ -- 24 Questions