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Would you like to design a better version of your favorite non-DB product? What would you want to modify to make it better?

Can you distinguish between the k-means and KNN techniques?

What do you think Capital One values in its employees?

Would you like to share a project you are proud of?

How does an LSTM's architecture and capabilities compare to a traditional RNN?

How would you describe yourself and why do you think that you should be hired by Capital One?

What do the training and loss graphs signify for a neural network? How do different loss functions influence the shape of the loss graph, and what are some widely utilized ones? How do the training and loss graphs differ, and what do they contribute towards optimizing and augmenting model performance?

What is one of the projects you are super proud of being a part of? Why?

Your most impressive project - tell me about it.

Develop a tracing system for distributed microservices.