AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
i
HyperVerge
Compare
Filter interviews by
HyperVerge Interview Questions and Answers
13 Interview questions
EfficientNets are a family of convolutional neural networks that have been designed to achieve state-of-the-art accuracy with fewer parameters and FLOPS.
EfficientNets use a compound scaling method to balance network depth, width, and resolution for optimal performance.
They are based on a baseline network architecture called EfficientNet-B0, which is then scaled up to create larger models like EfficientNet-B1, Effi...
Find the longest subarray of strings in a given array.
Iterate through the array and keep track of the current subarray length.
Reset the subarray length when encountering a non-string element.
Return the length of the longest subarray found.
Transformers architecture is a deep learning model that uses self-attention mechanism to process sequential data.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feed-forward neural networks.
Self-attention mechanism allows the model to weigh the importance of different input tokens when making predictions.
Transformers have achieved state-of-the-art performanc...
To plan an event calendar, consider the purpose of the events, target audience, available resources, and desired outcomes.
Identify the purpose of the events (e.g. team building, training, celebrations)
Consider the target audience and their preferences (e.g. employees, clients, stakeholders)
Allocate resources such as budget, venue, speakers, and equipment
Set clear goals and desired outcomes for each event
Create a t...
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
RAG is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or co...
Iterate through the array and find buildings with a view of the lake based on their heights.
Iterate through the array of buildings
Compare the height of each building with the buildings on its right to determine if it has a lakeside view
Keep track of buildings with a lakeside view
I want to join HyperVerge to contribute to innovative projects and grow in a dynamic environment focused on cutting-edge technology.
HyperVerge's commitment to innovation aligns with my passion for developing advanced software solutions.
The opportunity to work with a talented team excites me, as collaboration fosters creativity and learning.
I admire HyperVerge's focus on real-world applications of technology, such ...
OTP less work eliminates the need for one-time passwords for authentication.
OTP less work uses alternative methods like biometrics, push notifications, or hardware tokens for authentication.
It provides a more seamless and user-friendly authentication experience.
Examples include fingerprint scanning on smartphones or security keys for two-factor authentication.
It is difficult to provide an exact number, but there are likely thousands of Ola cab runs in Chennai each day.
The number of Ola cab runs in Chennai can vary depending on factors such as time of day, day of the week, and demand.
During peak hours, there may be a higher number of Ola cab runs as people commute to work or travel within the city.
On weekends or holidays, the number of Ola cab runs may increase due to l...
LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.
Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.
Fine tuning also involves training the LLM on specific data related to the task at hand, suc...
HyperVerge Interview Experiences
26 interviews found
Anonymous
I applied via Campus Placement
(4 Questions)
- Q1. Describe projects?
- Ans.
I have worked on various projects ranging from data analysis to machine learning models.
Developed a sentiment analysis model using natural language processing techniques
Implemented a recommendation system based on collaborative filtering algorithm
Worked on a predictive maintenance project for optimizing equipment performance
- Q2. Explain architecture of Efficient-nets
- Ans.
EfficientNets are a family of convolutional neural networks that have been designed to achieve state-of-the-art accuracy with fewer parameters and FLOPS.
EfficientNets use a compound scaling method to balance network depth, width, and resolution for optimal performance.
They are based on a baseline network architecture called EfficientNet-B0, which is then scaled up to create larger models like EfficientNet-B1, Efficient...
- Q3. Explain transformers architecture
- Ans.
Transformers architecture is a deep learning model that uses self-attention mechanism to process sequential data.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feed-forward neural networks.
Self-attention mechanism allows the model to weigh the importance of different input tokens when making predictions.
Transformers have achieved state-of-the-art performance in ...
- Q4. Longest sub array question in python.
- Ans.
Find the longest subarray of strings in a given array.
Iterate through the array and keep track of the current subarray length.
Reset the subarray length when encountering a non-string element.
Return the length of the longest subarray found.
(3 Questions)
- Q1. About family and past life
- Q2. Past internships and learnings
- Q3. College life and what they expect.
I applied via Campus Placement and was interviewed in Aug 2024. There were 3 interview rounds.
PPT ROUND about their company
(2 Questions)
- Q1. Why product management
- Ans.
Product management allows for strategic planning, coordination of resources, and optimization of production processes.
Product management involves overseeing the development, production, and distribution of goods.
It requires coordinating with various departments such as marketing, sales, and operations to ensure successful product launches.
Product managers analyze market trends, customer feedback, and competitor strateg...
- Q2. Mostly qs on cv
(2 Questions)
- Q1. HR BASIC QUESTIONS WHY THIS COMPANY
- Q2. YOUR BACKGROUND HOW ARE YOU AS PERSON
- Ans.
I have a strong background in production management and am known for my attention to detail and problem-solving skills.
Extensive experience in overseeing production processes and ensuring efficiency
Strong organizational skills and ability to multitask effectively
Proven track record of meeting deadlines and delivering high-quality results
Excellent communication and leadership skills, able to motivate and manage teams ef...
I applied via Campus Placement
There were a total of 4 coding question related to the topic of arrays strings and stacks we have to solve that in 90 minutes
(2 Questions)
- Q1. Explain your projects
- Ans.
I have worked on various projects as a Solution Architect, designing and implementing solutions for clients.
Designed and implemented a cloud-based data analytics platform for a financial services company
Led a team in developing a mobile application for a retail client to improve customer engagement
Worked on integrating multiple systems for a healthcare organization to streamline patient data management
- Q2. Why hyperverge and why junior solution architect role?
- Ans.
I chose Hyperverge for its cutting-edge technology and innovative solutions. I am interested in the junior solution architect role to gain hands-on experience and grow in my career.
Hyperverge's advanced technology and innovative solutions align with my passion for staying at the forefront of the industry.
The junior solution architect role offers me the opportunity to apply my skills in a practical setting and learn fro...
Interview Preparation Tips
Selected
I appeared for an interview in Jul 2024.
(2 Questions)
- Q1. Past Experience
- Ans.
I have extensive experience in product management, focusing on growth strategies and user engagement across various industries.
Led a cross-functional team to launch a new feature that increased user retention by 25% in a SaaS product.
Conducted market research that identified a gap in the market, resulting in a new product line that generated $1M in revenue within the first year.
Implemented A/B testing strategies that i...
- Q2. Case related to past experience
Framework for product conversations with clients and making roadmap basis the discussion
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
I dont exaclty remember the details but aptitude test had mainly simple interest those kinda questions
(5 Questions)
- Q1. Why do you want to switch to management if you have a ebgineering background
- Ans.
I believe my engineering background has equipped me with the necessary problem-solving and analytical skills to excel in a management role.
Engineering background provides strong analytical and problem-solving skills
Desire to lead and mentor a team
Interest in strategic decision-making and project management
Ability to understand technical aspects of projects and communicate effectively with engineers
- Q2. Tell me some incident where you brought out the best in people
- Ans.
I organized a team-building workshop that helped improve communication and collaboration among team members.
Organized a team-building workshop focused on improving communication and collaboration
Encouraged team members to participate in group activities and discussions
Provided opportunities for team members to share their strengths and work together towards common goals
- Q3. Two pen and paper questions were asked
- Q4. How would ypu plan a event calender
- Ans.
To plan an event calendar, consider the purpose of the events, target audience, available resources, and desired outcomes.
Identify the purpose of the events (e.g. team building, training, celebrations)
Consider the target audience and their preferences (e.g. employees, clients, stakeholders)
Allocate resources such as budget, venue, speakers, and equipment
Set clear goals and desired outcomes for each event
Create a timeli...
- Q5. She asked whether i had any further questions
I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. Difference between logistic regression and svm
- Ans.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
- Q2. Data augmentation related questions
Interview Preparation Tips
- Machine Learning
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Jan 2024. There were 3 interview rounds.
Simple test - Time Management is crucial. Medium Level questions.
Most of the shortlisting is done through Resume Screening and Reviewing the answers filled in the form & in the Apti round.
(2 Questions)
- Q1. Resume questions, Cross Questioning, and goes deep into what you have mentioned.
- Q2. Guess Estimates, Puzzles. GFG is more than enough for Puzzles. Guess estimates are standard questions mostly - easy to medium level.
(1 Question)
- Q1. Genric HR questions, Behavioural questions. Easy to crack if you have performed well so far.
Interview Preparation Tips
do not try to solve the guess estimates in more complicated way - interview likes simple approach itself.
I applied via Campus Placement and was interviewed in Jan 2024. There were 3 interview rounds.
We 200 of us were in a same hall and were asked 5 aptitude questions. Before that we had a pre-placement talk and they noted the involvement in it.
40 People were shortlisted and we had a GD on a topic in accuracy and precision.
(2 Questions)
- Q1. Asked about one of your projects that you consider the best.
- Q2. They went deep into the basics involved y=in the technologies of the project
Basic coding qns and aptitude questions which can be done easily
They gave guesstimate questions where scenarios will be given and you have to give an approximate estimate to it based on various factors
(2 Questions)
- Q1. What is LLM how do you fine tune them
- Ans.
LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.
Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.
Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...
- Q2. What is RAG and its working?
- Ans.
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
RAG is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...
Top trending discussions
HyperVerge Interview FAQs
The duration of HyperVerge interview process can vary, but typically it takes about less than 2 weeks to complete.
Tell us how to improve this page.
HyperVerge Interviews By Designations
- HyperVerge SDE Intern Interview Questions
- HyperVerge Software Developer Intern Interview Questions
- HyperVerge Data Scientist Interview Questions
- HyperVerge Associate Product Manager Interview Questions
- HyperVerge Production Manager Interview Questions
- HyperVerge Software Engineer Interview Questions
- HyperVerge Data Analyst Interview Questions
- HyperVerge Software Developer Interview Questions
- Show more
Interview Questions for Popular Designations
Overall Interview Experience Rating
based on 21 interview experiences
Difficulty level
Duration
Interview Questions from Similar Companies
HyperVerge Reviews and Ratings
based on 24 reviews
Rating in categories
2-4 Yrs
Not Disclosed
2-5 Yrs
Not Disclosed
|
Product Manager
8
salaries
|  ₹22 L/yr - ₹36.5 L/yr |
|
Software Engineer
7
salaries
| ₹15 L/yr - ₹20 L/yr |
|
SDE
7
salaries
| ₹13.2 L/yr - ₹20 L/yr |
|
Business Analyst
6
salaries
| ₹8.9 L/yr - ₹12 L/yr |
|
Solution Architect
6
salaries
| ₹10.5 L/yr - ₹25.7 L/yr |
Cogoport
KrazyBee
Treebo Hotels
MINTIFI
- Home >
- Interviews >
- HyperVerge Interview Questions
