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One of the challenges in the project was integrating multiple NLP models with different architectures.
Ensuring compatibility and consistency between models
Handling different input formats and output structures
Optimizing performance and computational resources
Addressing potential conflicts or biases between models
Text embedding is a technique to convert text data into numerical vectors for machine learning models.
Text embedding captures semantic meaning of words in a continuous vector space.
Popular methods include Word2Vec, GloVe, and BERT.
Embeddings can be pre-trained or learned from scratch depending on the task.
They are used in NLP tasks like sentiment analysis, text classification, and machine translation.
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 2 interview rounds.
Optimizers exist in FFNs to update weights, but many exist due to different optimization techniques and trade-offs.
Different optimizers use different optimization techniques such as momentum, adaptive learning rates, and regularization.
Optimizers have different trade-offs such as convergence speed, generalization, and robustness to noisy data.
The choice of optimizer depends on the specific problem and data set.
Examples...
Layer normalisation is a technique used to normalise the inputs to each layer of a feedforward neural network.
It is similar to batch normalisation but normalises the inputs to each layer instead of the entire batch.
It helps in reducing the internal covariate shift problem.
It can be applied to any type of activation function.
It is particularly useful in recurrent neural networks.
Example: LayerNorm in PyTorch.
Build an airline system to recommend routes from city 1 to city 2 with direct and connecting flights.
Create a graph with cities as nodes and connections as edges
Use Dijkstra's algorithm to find shortest path between city 1 and city 2
For connecting flights, find all possible paths with one or more stops
Sort and recommend routes based on total distance and number of stops
This function takes a string input and returns all possible combinations of characters in that string without repeated letters.
Use the itertools module to generate all possible permutations of the string.
Filter out the permutations that have repeated letters using a set.
Convert the filtered permutations into a list of strings.
I applied via Recruitment Consultant and was interviewed before Nov 2019. There were 3 interview rounds.
Effort estimation is the process of predicting the amount of time, resources, and cost required to complete a project or task.
Effort estimation is crucial for project planning and management.
It involves breaking down the project into smaller tasks and estimating the time and resources required for each task.
Various techniques can be used for effort estimation, such as expert judgment, historical data analysis, and para...
A WBS is a hierarchical breakdown of project deliverables into smaller, manageable components.
WBS is used to organize and define the scope of a project
It breaks down the project into smaller, more manageable components
Each component is called a work package
The WBS is hierarchical, with the top level being the project deliverable and the lower levels being the work packages
It helps in estimating project costs, time and ...
The project life cycle consists of initiation, planning, execution, monitoring and control, and closure.
Initiation: Defining the project scope, objectives, and stakeholders.
Planning: Developing a detailed project plan, including timelines, budget, and resources.
Execution: Implementing the project plan and completing the work.
Monitoring and Control: Tracking progress, identifying and managing risks, and making necessary...
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posted on 17 Dec 2024
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Utilize AWS or Azure services for scalable web applications
Use AWS Elastic Beanstalk or Azure App Service for easy deployment and scaling
Leverage AWS Lambda or Azure Functions for serverless computing
Utilize AWS Auto Scaling or Azure Autoscale to automatically adjust resources based on traffic
Store data in AWS RDS or Azure SQL Database for scalable database solutions
Use AWS CloudFront or Azure CDN for content delivery
I would use memory profiling tools to identify the source of the leaks and then fix them by properly managing memory allocation and deallocation.
Use memory profiling tools like Valgrind or Instruments to identify the source of the leaks
Review the code to ensure proper memory allocation and deallocation practices are being followed
Implement smart pointers or garbage collection to automatically manage memory
Use static co...
Yes, I have experience working on legacy systems.
I have successfully maintained and upgraded legacy systems to meet current business needs.
I have refactored legacy code to improve performance and scalability.
I have integrated new technologies with legacy systems to enhance functionality.
I have experience troubleshooting and debugging issues in legacy systems.
Yes, I have experience working with cross functional teams and resolving disputes effectively.
I have successfully collaborated with team members from different departments to achieve project goals.
I am skilled at mediating conflicts and finding mutually beneficial solutions.
I prioritize open communication and actively listen to all team members' perspectives.
I have experience using conflict resolution techniques such a
posted on 13 Aug 2024
I applied via Recruitment Consulltant
Seeking new challenges and growth opportunities in a dynamic field.
Interested in leveraging my skills and experience in a new environment
Excited about the potential to work on innovative products
Looking for opportunities to expand my knowledge and expertise
Yes, I frequently use food delivery apps like Swiggy.
I use Swiggy at least a few times a week for ordering food.
I appreciate the wide variety of restaurants and cuisines available on Swiggy.
Improvement suggestion: Enhance the user interface for a smoother ordering experience.
Improvement suggestion: Implement a more accurate delivery time estimation system.
Improvement suggestion: Offer more personalized recommendations
Northstar metric is the key metric that drives the core value of a product. For Swiggy, the northstar metric could be Daily Active Users (DAU) or Orders per User.
Northstar metric is the single metric that best captures the core value that your product delivers to customers.
For Swiggy, the northstar metric could be Daily Active Users (DAU) as it represents the number of unique users who engage with the platform on a dai...
I worked on improving the adoption of a new feature by conducting user research, implementing user feedback, and creating targeted marketing campaigns.
Conducted user research to understand user needs and preferences
Implemented user feedback to make necessary improvements to the feature
Created targeted marketing campaigns to promote the feature to the right audience
posted on 25 Dec 2024
I applied via Approached by Company and was interviewed in Nov 2024. There was 1 interview round.
posted on 15 Jan 2025
List is mutable, tuple is immutable in Python.
List is mutable, meaning its elements can be changed after creation.
Tuple is immutable, meaning its elements cannot be changed after creation.
List is defined using square brackets [], tuple using parentheses ().
Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
posted on 13 Dec 2024
Mintu Babu lives in a smaller house than her brother and in a larger house than her parents. Her children reside with her, and she has no other relatives. If Mintu Babu's relative U lives in a larger house than her relative S, then all the following may be true except: \n\n1) S is U's father \n\n2) S is U's mother \n\n3) U is younger than S \n\n4) S is younger than U
Merge two sorted linked lists without creating new nodes by rearranging existing nodes.
Traverse both linked lists simultaneously
Compare the values of nodes and rearrange pointers accordingly
Continue until one of the lists is fully traversed
Reverse a linked list by changing the direction of pointers.
Start with three pointers: current, previous, and next.
Iterate through the linked list, updating pointers to reverse the direction.
Update the head of the linked list to be the previous node once iteration is complete.
posted on 2 Dec 2024
I applied via Naukri.com and was interviewed in Nov 2024. There were 3 interview rounds.
Filter and shot the filter block based on title using redux?
posted on 26 Dec 2024
I applied via Company Website and was interviewed in Nov 2024. There was 1 interview round.
I am a Software Development Engineer with 5 years of experience in developing web applications using Java, Spring, and Angular.
5 years of experience in software development
Proficient in Java, Spring, and Angular
Strong problem-solving skills
Experience in developing web applications
Good team player
based on 13 reviews
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