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Vivek Saliya

25mcaviv034@ldce.ac.in

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HomeInterview experiencesKody Technolab
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Kody Technolab

selected

Machine Learning Engineer

Anonymous

|August 2026
Python
Machine Learning
selected

Interview process

01

Coding

60 min|medium

Interview rounds (detailed)

01

Coding

Difficulty
medium
Duration
60 minutes

Questions asked

Total 5 coding questions were asked:-

Overall tips

Prepare for the aptitude and coding rounds(Solve as many as possible DSA questions). This is the first on most important step to even reach to interview round.

For the interview round:- Focus on your core subjects such as DBMS, Computer Networking, Operating System and OOPs. Prepare any one programming language very well. Create 2 or 3 projects in your specific domain. And whatever your write in your resume, you must be prepare to explain it in front of your interviewee confidently.

Published on August 20, 2026

02

Technical

40 min|medium
  • Return the overlaping elements of 2D array
  • The passengers weight was given and the boat can carry only two passengers at a time. The weight should not exceed the K limit of weight. We have to find the minimum number of boats needed to cross the river.
  • N number of people were sitting in the circle we have to kill every Kth number of person until only one person is left. Find the remaining person's origional index.
  • For each element find the left most and right most highest wall from the list and find the total water trapped between that wall.
  • Find the leaders from the list. The element is said to be leader, if it is the highest from the all elemnts to it's right.
  • These five coding questions were given. Candidate who attempted 3 or above and correctly solved atlest 1 or 2 were selected for the next round.

    02

    Technical

    Difficulty
    medium
    Duration
    40 minutes

    Questions asked

    First of all they started with my family's intro and asked where I do I live and why do I want to persue AI/ML role. Then they started asking about the python's core concepts (The showed me the code and I had to tell the output). Totally based on the core python's knowledge.

    And then they asked OOPs concepts:- What is polymorphisiom? What is the difference between the runtime polymorphisiom and compile time polymorphisiom?

    In between they asked me about my hobbies.

    And then they asked me what is RAG? (From resume) Then they asked me Machine learning's questions:- What is hyper parameter tunning? (From resume) How ML model evaluated? What is the difference between the precion and recall? (model evaluation concepts) One scenario based question:- If our model's accuracy is 95% and still customer complained about the model's performance so what could be the problem??

    At last they gave me a logical question:- If 4 people wants to cross the bridge at night and they only have one torch. Only two people are alloed to cross the bridge at a time. A crosses the bridge in 1 minute. B crosses in 2 minute. C crosses in 8 minute. D crosses in 10 minute. so, what is the minimum amount of time needed to cross the bridge for all 4?