Two Sum Problem
AlgorithmsKth Largest number in an Array
Algorithms##Online Assessment The first round consisted of an online assessment focused on core Artificial Intelligence, Machine Learning, and Deep Learning concepts. The questions were primarily easy to medium in difficulty and tested fundamental theoretical understanding. ##Technical Round 1 The first technical interview was conducted by a Senior AI Engineer at Yethi Consulting. This round focused on discussing projects listed on my resume, along with basic Data Structures and Algorithms (DSA). There was a strong emphasis on problem-solving and writing clean, correct Python code. Additional questions assessed my foundational programming and logical reasoning skills. ##Technical Round 2 The second technical interview was conducted by the AI Team Manager at Yethi Consulting. This round was more specialized and focused on Retrieval-Augmented Generation (RAG) and its real-world applications. The discussion included conceptual questions such as the motivation behind using RAG, its advantages over standalone LLMs, and practical implementation considerations. I was also asked about my familiarity with popular frameworks, particularly LangChain and LangGraph, and how they are used in building RAG-based systems.
##Online Assessment The first round consisted of an online assessment focused on core Artificial Intelligence, Machine Learning, and Deep Learning concepts. The questions were primarily easy to medium in difficulty and tested fundamental theoretical understanding. ##Technical Round 1 The first technical interview was conducted by a Senior AI Engineer at Yethi Consulting. This round focused on discussing projects listed on my resume, along with basic Data Structures and Algorithms (DSA). There was a strong emphasis on problem-solving and writing clean, correct Python code. Additional questions assessed my foundational programming and logical reasoning skills. ##Technical Round 2 The second technical interview was conducted by the AI Team Manager at Yethi Consulting. This round was more specialized and focused on Retrieval-Augmented Generation (RAG) and its real-world applications. The discussion included conceptual questions such as the motivation behind using RAG, its advantages over standalone LLMs, and practical implementation considerations. I was also asked about my familiarity with popular frameworks, particularly LangChain and LangGraph, and how they are used in building RAG-based systems.
## I am sharing my interview experience with ICICI from last year -2025. I applied it through my campus placement drive as a fresher. ### ICICI came to IIT Delhi's placement season 2024–2025. It was listed as an ICICI Manager I. Manager I is a grade. It was open for all departments with no minimum CGPA criteria. # My profile at that time: I had an intern at a startup where I had built a recommendation model. I had been grinding LeetCode and Codeforces along with machine learning. I had successfully completed Andrew Ng's specialization course on ML and deep learning and practiced on Kaggle. # Online Assessment — 60 minutes At first we have CV shortlisting, where I got shortlisted. After that, I have to give an online assessment that contains only MCQ questions related to OOPs, DSA, Cpp, Java, and Python, which I successfully cleared. After that, I got a call from the placement cell that I have to give a personality test called personality profiler, where they asked me about how I will behave or react under some given conditions. Update 1—The interview shortlist comes on 30th November around 5 pm. Update 2—The interview was scheduled on the morning of 3rd December # Interview: It was 9 in the morning; the atmosphere was quite foggy and cold, and I was quite nervous. The interview is going to be the only one round with both technical and HR at the same time. ## They called me for Interview First question: “Tell about yourself.” I had prepared for this question and told about my name, my hometown, and my specializations along with my hobbies. Second question: “Explain any one of your projects.” I know this question will pop up, and I had prepared for this question by preparing my best project in depth. But as ICICI is a bank, I thought I should explain my project, which is relevant to the bank in any way. So instead of explaining about the project ‘AI Interviewer,’ I choose stock analysis by AI agent. I had been asked some cross questions regarding my project, which I answered successfully. Third Question: “Can you optimize the time taken to train ANN?” As there are many ways to optimize artificial neural networks. It starts with the hardware side, like using more powerful GPUs. Then I explained we can drop neurons in order to train the model faster. Then he asked me about some mathematical approaches, so I recalled Adam optimization, and I explained it in detail by drawing some formulas and images. Fourth question: “Forward and Back Propagation.” I started with forward propagation by considering a 2-layer neural network and similarly derived back propagation from it, which he seems satisfied with. ## Update 3 — Now my technical round is over and its for HR round 5. She asked me about why ICICI, my background, my future goals, and general HR questions, which I prepared before the interview and answered optimally, at least according to me. Update 4: I got a call from POC that they were willing to offer me, which I gladly accepted. I felt a surge of excitement and joy. Update 5: HR called me and congratulated me, after which we had a professional handshake and goodbye. 3rd December 2024 will be a special day for me as I get my first job. It was my first and last interview at IIT Delhi. Thanks for reading.
## I am sharing my interview experience with ICICI from last year -2025. I applied it through my campus placement drive as a fresher. ### ICICI came to IIT Delhi's placement season 2024–2025. It was listed as an ICICI Manager I. Manager I is a grade. It was open for all departments with no minimum CGPA criteria. # My profile at that time: I had an intern at a startup where I had built a recommendation model. I had been grinding LeetCode and Codeforces along with machine learning. I had successfully completed Andrew Ng's specialization course on ML and deep learning and practiced on Kaggle. # Online Assessment — 60 minutes At first we have CV shortlisting, where I got shortlisted. After that, I have to give an online assessment that contains only MCQ questions related to OOPs, DSA, Cpp, Java, and Python, which I successfully cleared. After that, I got a call from the placement cell that I have to give a personality test called personality profiler, where they asked me about how I will behave or react under some given conditions. Update 1—The interview shortlist comes on 30th November around 5 pm. Update 2—The interview was scheduled on the morning of 3rd December # Interview: It was 9 in the morning; the atmosphere was quite foggy and cold, and I was quite nervous. The interview is going to be the only one round with both technical and HR at the same time. ## They called me for Interview First question: “Tell about yourself.” I had prepared for this question and told about my name, my hometown, and my specializations along with my hobbies. Second question: “Explain any one of your projects.” I know this question will pop up, and I had prepared for this question by preparing my best project in depth. But as ICICI is a bank, I thought I should explain my project, which is relevant to the bank in any way. So instead of explaining about the project ‘AI Interviewer,’ I choose stock analysis by AI agent. I had been asked some cross questions regarding my project, which I answered successfully. Third Question: “Can you optimize the time taken to train ANN?” As there are many ways to optimize artificial neural networks. It starts with the hardware side, like using more powerful GPUs. Then I explained we can drop neurons in order to train the model faster. Then he asked me about some mathematical approaches, so I recalled Adam optimization, and I explained it in detail by drawing some formulas and images. Fourth question: “Forward and Back Propagation.” I started with forward propagation by considering a 2-layer neural network and similarly derived back propagation from it, which he seems satisfied with. ## Update 3 — Now my technical round is over and its for HR round 5. She asked me about why ICICI, my background, my future goals, and general HR questions, which I prepared before the interview and answered optimally, at least according to me. Update 4: I got a call from POC that they were willing to offer me, which I gladly accepted. I felt a surge of excitement and joy. Update 5: HR called me and congratulated me, after which we had a professional handshake and goodbye. 3rd December 2024 will be a special day for me as I get my first job. It was my first and last interview at IIT Delhi. Thanks for reading.
There is a techinical round and interview round happend in the same day(offline mode) where we were given an hour or so to write the test of MCQs which were mostly theoretical and some aptitudes. The level of the paper is moderate where the domains of questions were analog, communication, transmition lines, antennas and Signal processing. The imediately corrected the paper and given us the result for next round after half an hour. The interview rounds were friendly some comm. question like amplitude and frequency modulations, project explaination, Which modulation is less noisy all stuff. Then question of hobbies and general questions were followed.
There is a techinical round and interview round happend in the same day(offline mode) where we were given an hour or so to write the test of MCQs which were mostly theoretical and some aptitudes. The level of the paper is moderate where the domains of questions were analog, communication, transmition lines, antennas and Signal processing. The imediately corrected the paper and given us the result for next round after half an hour. The interview rounds were friendly some comm. question like amplitude and frequency modulations, project explaination, Which modulation is less noisy all stuff. Then question of hobbies and general questions were followed.
Passionate about AI, ML, system design, and software engineering excellence.
Recently, I had the opportunity to interview with Quantrium for an Internship + PPO, and I’m happy to share that I was selected 🎉. Overall, the interview process was well-structured, insightful, and focused on real-world understanding rather than rote learning. Below is a detailed breakdown of my experience.
The selection process consisted of four rounds:
This was the initial screening round. Only candidates with hands-on projects in the AI/ML domain were shortlisted. Having relevant, well-documented projects played a crucial role here
The OA had two sections:
The coding questions tested logical thinking and problem-solving rather than obscure tricks.
This round lasted about 1.5 hours and was highly technical.
It started with an introduction, followed by an in-depth discussion of my resume and projects. The interviewer focused on:
Tip: Be honest, and know your projects deeply. You should be able to justify every design decision.
The discussion then moved to AI/ML fundamentals, Deep Learning, NLP, and RAG-based applications. I was asked to:
In ML, I was given a problem statement and asked which model I would choose (e.g., Logistic Regression vs Random Forest). The interviewer went deep into Random Forest to understand my thinking process and model selection rationale.
In the final part:
OOP concepts in Python were discussed, and I wrote code
Two DSA problems were asked:
I was allowed to code in either Python or C++.
The round ended with a Q&A, where I asked about the company’s tech stack, work culture, and interview feedback.
This round was conducted the very next day.
The CTO focused more on production readiness and system design rather than implementation details. Questions included:
He also asked about Explainable AI. While I wasn’t deeply familiar with it, I answered based on intuition and logical reasoning, which he appreciated.
The Project Manager focused on teamwork and execution:
My experience working in groups
Project management approach (Agile)
Differences between Agile and Waterfall
Behavioral questions like:
These were straightforward if you’ve worked in collaborative environments.
At the end, I asked about:
The entire process tested depth of knowledge, clarity of thought, system-level understanding, and teamwork skills. It was less about memorization and more about how you approach real-world problems.
I’m grateful for the experience and excited about what lies ahead at Quantrium 🚀.
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