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I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
Javascript and object
Did HVPD assignment twice
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I applied via Recruitment Consulltant and was interviewed before Jan 2024. There was 1 interview round.
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I applied via LinkedIn and was interviewed in Nov 2022. There were 3 interview rounds.
2 Coding questions and 30 AI related MCQs. The coding questions were of easy level
I am interested in the field of computer vision in AI.
Computer vision
Image recognition
Object detection
Video analysis
I have worked on various AI projects including image recognition, natural language processing, and recommendation systems.
Developed an image recognition model using convolutional neural networks
Built a natural language processing system for sentiment analysis
Implemented a recommendation system using collaborative filtering
Worked on a chatbot project using deep learning techniques
I chose AI because of its potential to revolutionize industries and improve lives.
Fascinated by the ability of AI to analyze vast amounts of data and make predictions
Passionate about developing intelligent systems that can automate tasks and solve complex problems
Excited about the potential of AI in healthcare to improve diagnosis and treatment
Inspired by the advancements in AI technology and its impact on various indu...
I applied via Approached by Company and was interviewed in Jun 2023. There were 3 interview rounds.
Coding assignment on Java, microservice
I applied via LinkedIn and was interviewed in Nov 2022. There were 3 interview rounds.
2 coding questions and 30 mcqs
I chose AI because of its potential to revolutionize industries and improve people's lives.
Fascinated by the ability of AI to analyze large amounts of data and make predictions
Excited about the advancements in natural language processing and computer vision
Believe AI can enhance decision-making processes in various fields
Inspired by the potential of AI in healthcare to diagnose diseases and develop personalized treatme
I am interested in Natural Language Processing (NLP) and Computer Vision.
I am fascinated by the ability of machines to understand and interpret human language.
I am also intrigued by the potential of machines to analyze and interpret visual data.
I have experience working with NLP tools such as NLTK and spaCy.
I have also worked with computer vision libraries such as OpenCV and TensorFlow.
I am excited to explore the inter...
I have worked on various projects related to Artificial Intelligence.
Developed a chatbot using natural language processing to provide customer support
Implemented a recommendation system using collaborative filtering for an e-commerce platform
Created a deep learning model for image classification in a computer vision project
Data Structures and Algorithms
I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.
Docker is a platform for developing, shipping, and running applications in containers.
Docker allows developers to package their applications and dependencies into a container that can run on any system.
Containers are lightweight, portable, and isolated environments that ensure consistency in development and deployment.
Docker uses a client-server architecture with a daemon process managing containers and a CLI for inter...
Docker is a containerization platform for packaging applications, while Kubernetes is a container orchestration tool for managing containerized applications.
Docker is used for creating, deploying, and running applications in containers.
Kubernetes is used for automating the deployment, scaling, and management of containerized applications.
Docker focuses on packaging applications and their dependencies into containers, w...
Azure and GCP offer similar cloud services but differ in pricing, global reach, and specific offerings.
Azure has a larger global presence with more data centers compared to GCP.
GCP is known for its competitive pricing and discounts, especially for long-term commitments.
Azure offers services like Azure Functions, Azure DevOps, and Azure Machine Learning, while GCP has offerings like BigQuery, Cloud Functions, and AI Pla...
Networking in Azure involves virtual networks, subnets, security groups, and routing.
Azure Virtual Network (VNet) allows you to create isolated networks within Azure.
Subnets within a VNet can be used to segment resources and control traffic flow.
Network Security Groups (NSGs) are used to control inbound and outbound traffic to network interfaces.
Azure Route Tables define how traffic is routed within a VNet or to extern
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