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SDE - Intern

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3 rounds | 5 Coding problems

Interview preparation journey

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Application story
I was initially contacted by an Engineering Manager, and after a brief discussion over a call, I was invited to their office for an onsite round. There, I went through a AI-assisted interview covering Data Structures & Algorithms and Backend Development. After that, I had a 1:1 LLD (Low-Level Design) interview with the Engineering Manager.
Why selected/rejected for the role?
I performed quite well in the Low-Level Design (LLD) round. The discussion mainly focused on API design, database schema choices, system components, and relevant design patterns.
Preparation
Duration: 6 months
Topics: DSA, LLD, OOPs, Backend Dev, HLD, DBMS
Tip
Tip

Tip 1: Focus on mastering core concepts rather than memorizing outlines.
Tip 2: Deep-dive into backend systems, system design fundamentals, and strong coding practices.
Tip 3: Build at least 3 solid, end-to-end projects before aiming for your first internship.

Application process
Where: Other
Eligibility: NA, (Stipend: 35k per month)
Resume Tip
Resume tip

Tip 1: Use clear bullet points in your resume to make achievements easy to scan.
Tip 2: Create your resume using Overleaf or other structured resume builders to maintain a clean, consistent, and professional format.

Interview rounds

01
Round
Easy
Telephonic
Duration10 minutes
Interview date24 Apr 2025
Coding problem2

1. Internship Discussion

Discussed on the SDE Internship I did in the past months, their learnings and the kind of projects I worked on there.

2. Resume Discussion

Discussed on the projects that I had in my resume. Also had discussion on number of problems solved in DSA on different platforms.

02
Round
Easy
Face to Face
Duration60 minutes
Interview date25 Apr 2025
Coding problem2

1. Maximum Subarray Sum

Moderate
35m average time
81% success
0/80
Asked in companies
HCL TechnologiesInformaticaSamsung

You are given an array 'arr' of length 'n', consisting of integers.


A subarray is a contiguous segment of an array. In other words, a subarray can be formed by removing 0 or more integers from the beginning and 0 or more integers from the end of an array.


Find the sum of the subarray (including empty subarray) having maximum sum among all subarrays.


The sum of an empty subarray is 0.


Example :
Input: 'arr' = [1, 2, 7, -4, 3, 2, -10, 9, 1]

Output: 11

Explanation: The subarray yielding the maximum sum is [1, 2, 7, -4, 3, 2].
Problem approach

Kadane's Algorithm (Dynamic Programming)
Kadane's algorithm uses a greedy and dynamic programming approach to solve the problem efficiently in a single pass.
The Logic:
For each element nums[i] (starting from the second element, as the first element initializes our variables):
Update maxEnding: We determine the maximum subarray sum ending at the current index i: maxEnding = max(nums[i], maxEnding + nums[i])
This is the core decision: either nums[i] is the start of a new, better subarray, or it extends the existing maximum subarray ending at the previous position.
Update res: We check if the newly calculated maxEnding is better than our overall best result: res = max(res, maxEnding)

Try solving now

2. Javascript

  • Explain async and await in JS. (Learn)
  • What is node? How do we create a node server? (Learn)
  • What is Express? (Learn)
03
Round
Medium
Face to Face
Duration60 minutes
Interview date27 Apr 2025
Coding problem1

1. System Design

Design Uber like system.

Here's your problem of the day

Solving this problem will increase your chance to get selected in this company

Skill covered: Programming

What is recursion?

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