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Learn from the real stories of students who have landed jobs and internships at top companies. Our collection of interview experiences gives you a detailed look into the questions, processes, and timelines.
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.
## My Preparation Journey I had been practicing DSA on LeetCode for around two years and solved the Striver SDE Sheet twice, which helped strengthen my problem-solving approach. Along the way, I explored multiple programming languages including Python, Java, C/C++, and Solidity, and worked with different technologies such as the MERN stack, blockchain, machine learning, and deep learning. This broad exposure made it easier to adapt when Accenture’s requirements were announced. ## Recruitment Process Overview Accenture’s hiring process consisted of four rounds: Online Assessment, Technical Interview, Communication Round, and HR Interview. The role primarily focused on Java. ## Online Assessment (OA) The OA had multiple sections, including aptitude-based questions, a path-finding game, and fast calculation tasks. Strong logical thinking and time management were key to clearing this round. ## Technical Round The technical round was divided into three parts: * **Frontend:** HTML, CSS, and JavaScript basics * **Backend:** Java fundamentals * **Database:** SQL queries and concepts Having clarity in fundamentals helped me navigate this round confidently. ## Communication Round This round tested overall communication skills through multiple sections such as reading comprehension, storytelling, scene explanation, grammar correction, repetition exercises, and a writing section. The writing task included email writing and short story writing, all within a limited time. ## HR Round The HR interview was conversational and focused on understanding me as a person. I was asked to introduce myself, share my favorite college memory, talk about events I hosted, discuss my experience there, mention my most liked and disliked subjects, and finally ask questions of my own. ## Key Takeaways This experience taught me that long-term consistency, strong fundamentals, and clear communication matter a lot. Preparing broadly helped me adapt quickly to role-specific requirements. ## Advice Start early, stay consistent, and don’t limit yourself to just one skill. Your first offer is a result of patience, learning, and belief in your preparation.
## My Preparation Journey I had been practicing DSA on LeetCode for around two years and solved the Striver SDE Sheet twice, which helped strengthen my problem-solving approach. Along the way, I explored multiple programming languages including Python, Java, C/C++, and Solidity, and worked with different technologies such as the MERN stack, blockchain, machine learning, and deep learning. This broad exposure made it easier to adapt when Accenture’s requirements were announced. ## Recruitment Process Overview Accenture’s hiring process consisted of four rounds: Online Assessment, Technical Interview, Communication Round, and HR Interview. The role primarily focused on Java. ## Online Assessment (OA) The OA had multiple sections, including aptitude-based questions, a path-finding game, and fast calculation tasks. Strong logical thinking and time management were key to clearing this round. ## Technical Round The technical round was divided into three parts: * **Frontend:** HTML, CSS, and JavaScript basics * **Backend:** Java fundamentals * **Database:** SQL queries and concepts Having clarity in fundamentals helped me navigate this round confidently. ## Communication Round This round tested overall communication skills through multiple sections such as reading comprehension, storytelling, scene explanation, grammar correction, repetition exercises, and a writing section. The writing task included email writing and short story writing, all within a limited time. ## HR Round The HR interview was conversational and focused on understanding me as a person. I was asked to introduce myself, share my favorite college memory, talk about events I hosted, discuss my experience there, mention my most liked and disliked subjects, and finally ask questions of my own. ## Key Takeaways This experience taught me that long-term consistency, strong fundamentals, and clear communication matter a lot. Preparing broadly helped me adapt quickly to role-specific requirements. ## Advice Start early, stay consistent, and don’t limit yourself to just one skill. Your first offer is a result of patience, learning, and belief in your preparation.
The BEL interview was conducted by a professional panel of four members who began the session with a standard introduction and several general background questions. The discussion quickly transitioned into a rigorous, deep-dive examination of my resume, where the panelists scrutinized every project in detail, questioning the technical choices and implementation strategies I employed. Following this, they focused on my internship at TATA Electronics, asking specific questions about my responsibilities and the industry-level exposure I gained during my tenure. The interview then shifted toward the communication domain, with a series of technical questions centered on core engineering principles and signal theory. To conclude, the panel asked standard HR and behavioral questions to assess my cultural fit for the organization before bringing the session to a close.
The BEL interview was conducted by a professional panel of four members who began the session with a standard introduction and several general background questions. The discussion quickly transitioned into a rigorous, deep-dive examination of my resume, where the panelists scrutinized every project in detail, questioning the technical choices and implementation strategies I employed. Following this, they focused on my internship at TATA Electronics, asking specific questions about my responsibilities and the industry-level exposure I gained during my tenure. The interview then shifted toward the communication domain, with a series of technical questions centered on core engineering principles and signal theory. To conclude, the panel asked standard HR and behavioral questions to assess my cultural fit for the organization before bringing the session to a close.
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. ## Interview Process Overview The selection process consisted of **four rounds**: 1. Resume Shortlisting 2. Online Assessment (OA) 3. Technical Round 1 (Senior Engineer) 4. Technical Round 2 (CTO & Project Manager) ## 1. Resume Shortlisting 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 ## 2. Online Assessment (OA) The OA had **two sections**: * **MCQs** on AI/ML fundamentals * **Two coding problems** of medium difficulty (LeetCode-level) The coding questions tested logical thinking and problem-solving rather than obscure tricks. ## 3. Technical Round 1 (Senior Engineer) This round lasted about **1.5 hours** and was highly technical. ### Resume & Project Discussion It started with an introduction, followed by an in-depth discussion of my resume and projects. The interviewer focused on: * Why I chose specific tools/technologies * Trade-offs between different approaches * How design choices would impact scalability and performance **Tip:** Be honest, and know your projects deeply. You should be able to justify every design decision. ### AI/ML, DL, NLP & RAG The discussion then moved to AI/ML fundamentals, Deep Learning, NLP, and **RAG-based applications**. I was asked to: * Design a RAG system * Explain each pipeline component in detail * Diagnose issues like hallucination even when retrieval is correct * Discuss document fusion, query transformation, and other RAG challenges 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**. ### OOPs & DSA In the final part: * OOP concepts in Python were discussed, and I wrote code * Two DSA problems were asked: * Two Sum * Kth Largest Element in an Array 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. ## 4. Technical Round 2 (CTO & Project Manager) This round was conducted **the very next day**. ### CTO Round (System Design & R&D Focus) The CTO focused more on **production readiness and system design** rather than implementation details. Questions included: * How to scale my project as users increase * My R&D experience and tools used * Model performance over time * Fine-tuning techniques and approaches * Ensuring correctness and reliability in RAG-based systems 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. ### Project Manager Round (Process & Behavioral) 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: * Why Quantrium? * How I handle conflicting ideas within a team These were straightforward if you’ve worked in collaborative environments. At the end, I asked about: * Company culture * Growth trajectory * How I could contribute to the company’s growth in the next 6 months ## Final Thoughts 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 🚀.
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. ## Interview Process Overview The selection process consisted of **four rounds**: 1. Resume Shortlisting 2. Online Assessment (OA) 3. Technical Round 1 (Senior Engineer) 4. Technical Round 2 (CTO & Project Manager) ## 1. Resume Shortlisting 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 ## 2. Online Assessment (OA) The OA had **two sections**: * **MCQs** on AI/ML fundamentals * **Two coding problems** of medium difficulty (LeetCode-level) The coding questions tested logical thinking and problem-solving rather than obscure tricks. ## 3. Technical Round 1 (Senior Engineer) This round lasted about **1.5 hours** and was highly technical. ### Resume & Project Discussion It started with an introduction, followed by an in-depth discussion of my resume and projects. The interviewer focused on: * Why I chose specific tools/technologies * Trade-offs between different approaches * How design choices would impact scalability and performance **Tip:** Be honest, and know your projects deeply. You should be able to justify every design decision. ### AI/ML, DL, NLP & RAG The discussion then moved to AI/ML fundamentals, Deep Learning, NLP, and **RAG-based applications**. I was asked to: * Design a RAG system * Explain each pipeline component in detail * Diagnose issues like hallucination even when retrieval is correct * Discuss document fusion, query transformation, and other RAG challenges 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**. ### OOPs & DSA In the final part: * OOP concepts in Python were discussed, and I wrote code * Two DSA problems were asked: * Two Sum * Kth Largest Element in an Array 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. ## 4. Technical Round 2 (CTO & Project Manager) This round was conducted **the very next day**. ### CTO Round (System Design & R&D Focus) The CTO focused more on **production readiness and system design** rather than implementation details. Questions included: * How to scale my project as users increase * My R&D experience and tools used * Model performance over time * Fine-tuning techniques and approaches * Ensuring correctness and reliability in RAG-based systems 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. ### Project Manager Round (Process & Behavioral) 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: * Why Quantrium? * How I handle conflicting ideas within a team These were straightforward if you’ve worked in collaborative environments. At the end, I asked about: * Company culture * Growth trajectory * How I could contribute to the company’s growth in the next 6 months ## Final Thoughts 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 🚀.
## 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.
I had been practicing DSA on LeetCode for around two years, solving the Striver SDE Sheet twice to strengthen my problem-solving skills. Along the way, I explored multiple programming languages — Python, Java, C/C++, Solidity — and worked with technologies like MERN stack, blockchain, machine learning, and deep learning. In the last 6 months, I also started learning system design fundamentals, which helped me approach Visa’s technical rounds with confidence. This broad preparation allowed me to adapt quickly during their challenging selection process. ### Recruitment Process Overview Visa’s selection process had four rounds: 1. **Online Assessment (DSA)** 2. **Technical Interview 1** 3. **Technical Interview 2 (System Design)** 4. **Team Lead Round** The rounds tested my problem-solving, technical knowledge, system design understanding, and communication skills. ### Round 1 – Online Assessment (DSA) This round had **four DSA questions**, testing algorithmic and coding abilities. After this round, 8 students were selected for the next stage. ### Round 2 – Technical Interview 1 This round started with a self-introduction followed by a **20-minute discussion on my projects**: * Describing my projects and selecting the best one * Challenges faced and improvements possible * **SQL and DSA questions** * Discussion about my **LeetCode rating (~1887)** and algorithms The interviewer asked about choosing the right algorithm, evaluating pre-existing code, and managing code quality. Despite initial nervousness, I received confirmation to move to the next round (6 students selected). ### Round 3 – Technical Interview 2 (System Design) This round focused on **scalability and system design**. The discussion included: * Choosing a project example from my resume * Designing a high-level architecture (HLD) * Components like **load balancer, cache, API gateway, database, microservices, rate limiter** * Ensuring **high availability, low latency, and scalability** My preparation in system design basics helped me confidently discuss design decisions, and the interviewer complimented my strong fundamentals. After this round, 5 students advanced. ### Round 4 – Team Lead Round This was a **communication-focused round**. Clear articulation and asking relevant questions based on previous rounds helped me stand out. The discussion went smoothly, and the interviewer was impressed with my insights and preparation. ### Key Takeaways * **Consistency pays off:** Years of DSA practice and project work laid the foundation. * **System design knowledge matters:** Early preparation made technical 2 round easier. * **Communication & curiosity:** Clear explanations and asking the right questions made a difference in the final round. * **Luck helps:** Being able to tie answers from previous rounds added value. ### Outcome One day later, I received the **offer from Visa at 35 LPA** — a dream come true!
I had been practicing DSA on LeetCode for around two years, solving the Striver SDE Sheet twice to strengthen my problem-solving skills. Along the way, I explored multiple programming languages — Python, Java, C/C++, Solidity — and worked with technologies like MERN stack, blockchain, machine learning, and deep learning. In the last 6 months, I also started learning system design fundamentals, which helped me approach Visa’s technical rounds with confidence. This broad preparation allowed me to adapt quickly during their challenging selection process. ### Recruitment Process Overview Visa’s selection process had four rounds: 1. **Online Assessment (DSA)** 2. **Technical Interview 1** 3. **Technical Interview 2 (System Design)** 4. **Team Lead Round** The rounds tested my problem-solving, technical knowledge, system design understanding, and communication skills. ### Round 1 – Online Assessment (DSA) This round had **four DSA questions**, testing algorithmic and coding abilities. After this round, 8 students were selected for the next stage. ### Round 2 – Technical Interview 1 This round started with a self-introduction followed by a **20-minute discussion on my projects**: * Describing my projects and selecting the best one * Challenges faced and improvements possible * **SQL and DSA questions** * Discussion about my **LeetCode rating (~1887)** and algorithms The interviewer asked about choosing the right algorithm, evaluating pre-existing code, and managing code quality. Despite initial nervousness, I received confirmation to move to the next round (6 students selected). ### Round 3 – Technical Interview 2 (System Design) This round focused on **scalability and system design**. The discussion included: * Choosing a project example from my resume * Designing a high-level architecture (HLD) * Components like **load balancer, cache, API gateway, database, microservices, rate limiter** * Ensuring **high availability, low latency, and scalability** My preparation in system design basics helped me confidently discuss design decisions, and the interviewer complimented my strong fundamentals. After this round, 5 students advanced. ### Round 4 – Team Lead Round This was a **communication-focused round**. Clear articulation and asking relevant questions based on previous rounds helped me stand out. The discussion went smoothly, and the interviewer was impressed with my insights and preparation. ### Key Takeaways * **Consistency pays off:** Years of DSA practice and project work laid the foundation. * **System design knowledge matters:** Early preparation made technical 2 round easier. * **Communication & curiosity:** Clear explanations and asking the right questions made a difference in the final round. * **Luck helps:** Being able to tie answers from previous rounds added value. ### Outcome One day later, I received the **offer from Visa at 35 LPA** — a dream come true!
I recently had the opportunity to participate in the Infosys on-campus recruitment drive at IIT Dharwad. I’m happy to share that the process concluded with an offer for the Specialist Programmer (SP) L2 role. Here is a detailed breakdown of my experience: Round 1: Online Assessment (OA) The assessment consisted of 4 coding problems categorized by difficulty: Easy, Medium, Hard, and Complex. Performance in this round determines which role you are mapped to (DSE, SP-L1, SP-L2, or SP-L3). My Performance: I have solved 2.3 question out of 4 ( easy full , medium partial and for hard 11/12). Difficulty Level: The "Easy" and "Medium" questions were comparable to LeetCode Medium. The "Hard" question was LeetCode Hard, and the "Complex" one felt like a high-rated Codeforces problem. Key Takeaway: The entire set was heavy on Dynamic Programming. Solving the "Hard" problem is mandatory to be shortlisted for the SP-L2 and SP-L3 roles. Round 2: Technical Interview (at Infosys Hubli Campus) I was shortlisted for the SP-L3 interview process based on my OA score. The interview took place in person at the Infosys Hubli campus. Atmosphere: The interviewer was very friendly. He skipped the standard "introduction" formalities and jumped straight into a technical discussion. Code Discussion: He reviewed my OA submission extensively. I was asked to explain my approach and logic for every problem I attempted during the assessment. System Design: We spent about 40 minutes discussing a System Design problem: "Design a URL Shortener (like TinyURL)." This was an in-depth discussion covering database choices, scaling, and hashing logic. Verdict: Selected for the Specialist Programmer L2 role. Grateful for the opportunity and looking forward to the journey ahead!
I recently had the opportunity to participate in the Infosys on-campus recruitment drive at IIT Dharwad. I’m happy to share that the process concluded with an offer for the Specialist Programmer (SP) L2 role. Here is a detailed breakdown of my experience: Round 1: Online Assessment (OA) The assessment consisted of 4 coding problems categorized by difficulty: Easy, Medium, Hard, and Complex. Performance in this round determines which role you are mapped to (DSE, SP-L1, SP-L2, or SP-L3). My Performance: I have solved 2.3 question out of 4 ( easy full , medium partial and for hard 11/12). Difficulty Level: The "Easy" and "Medium" questions were comparable to LeetCode Medium. The "Hard" question was LeetCode Hard, and the "Complex" one felt like a high-rated Codeforces problem. Key Takeaway: The entire set was heavy on Dynamic Programming. Solving the "Hard" problem is mandatory to be shortlisted for the SP-L2 and SP-L3 roles. Round 2: Technical Interview (at Infosys Hubli Campus) I was shortlisted for the SP-L3 interview process based on my OA score. The interview took place in person at the Infosys Hubli campus. Atmosphere: The interviewer was very friendly. He skipped the standard "introduction" formalities and jumped straight into a technical discussion. Code Discussion: He reviewed my OA submission extensively. I was asked to explain my approach and logic for every problem I attempted during the assessment. System Design: We spent about 40 minutes discussing a System Design problem: "Design a URL Shortener (like TinyURL)." This was an in-depth discussion covering database choices, scaling, and hashing logic. Verdict: Selected for the Specialist Programmer L2 role. Grateful for the opportunity and looking forward to the journey ahead!
##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.
### Note that the interview was for SDE intern role when I was in my 3rd year. # Technical Test: 1. There were some aptitude questions and basic CS questions 2. There were coding questions. Everyone had got different questions. ### My questions were - • Add a node to end of the linked list. • Print fibonacci sequence. ( the question was more complicated and they had given it in terms of binary tree). ## 4 students were shortlisted for the interview round # Technical Interview round - He started to ask OS questions (about threads). I said I do not know since the course is not completed. - He asked questions about C. what are static variables? Where are they stored? Where are global variables stored? # Manegarial interview round - discussed about the projects on my resume. - Asked to design a cache.
### Note that the interview was for SDE intern role when I was in my 3rd year. # Technical Test: 1. There were some aptitude questions and basic CS questions 2. There were coding questions. Everyone had got different questions. ### My questions were - • Add a node to end of the linked list. • Print fibonacci sequence. ( the question was more complicated and they had given it in terms of binary tree). ## 4 students were shortlisted for the interview round # Technical Interview round - He started to ask OS questions (about threads). I said I do not know since the course is not completed. - He asked questions about C. what are static variables? Where are they stored? Where are global variables stored? # Manegarial interview round - discussed about the projects on my resume. - Asked to design a cache.
I'm happy to share my experience. Overall, the interview process was quite straightforward and I'm thrilled to say that I was selected for FTE role! # Part 1 — General Aptitude This section included: • Time & Work • Basic arithmetic • Ratio & Proportion • Other standard aptitude topics The questions were easy but time-consuming, so speed and pre-practice matter a lot. ⸻ # Part 2 — Numerical Aptitude This round was more focused on numerical reasoning, including: • AP (Arithmetic Progression) • GP (Geometric Progression) • Sum of n terms • Number-based logical calculations ### Difficulty was moderate, but again the time limit makes it challenging. Practicing these topics beforehand helps a lot. ⸻ # Part 3 — English (Vocabulary + Grammar) This section was: • The toughest among all three • Focused on advanced vocabulary, grammar correction, sentence improvement, and comprehension Good command of English is helpful, and practicing vocabulary + grammar exercises is recommended. ⸻ # Important Note: Time Management All three rounds had a strict time limit, so: • Practicing general aptitude regularly is essential • Platforms like Indiabix can help improve speed and accuracy
I'm happy to share my experience. Overall, the interview process was quite straightforward and I'm thrilled to say that I was selected for FTE role! # Part 1 — General Aptitude This section included: • Time & Work • Basic arithmetic • Ratio & Proportion • Other standard aptitude topics The questions were easy but time-consuming, so speed and pre-practice matter a lot. ⸻ # Part 2 — Numerical Aptitude This round was more focused on numerical reasoning, including: • AP (Arithmetic Progression) • GP (Geometric Progression) • Sum of n terms • Number-based logical calculations ### Difficulty was moderate, but again the time limit makes it challenging. Practicing these topics beforehand helps a lot. ⸻ # Part 3 — English (Vocabulary + Grammar) This section was: • The toughest among all three • Focused on advanced vocabulary, grammar correction, sentence improvement, and comprehension Good command of English is helpful, and practicing vocabulary + grammar exercises is recommended. ⸻ # Important Note: Time Management All three rounds had a strict time limit, so: • Practicing general aptitude regularly is essential • Platforms like Indiabix can help improve speed and accuracy