I had a positive experience with the interview process. Interview Questions: The interview covered a range of topics, starting with a deep dive into my projects and technical background before moving on to specific concepts. Project Discussion: We spent a good amount of time discussing the architecture and technologies used in one of my key projects. The interviewer was particularly interested in the challenges I faced and how I approached solving them. Node.js & AWS: There were several questions related to my experience with Node.js, including asynchronous programming and event loops. We also discussed AWS services, focusing on how they could be used to deploy and scale a Node.js application. Object-Oriented Programming (OOP): The interviewer asked about fundamental OOP concepts, specifically focusing on inheritance and providing real-world examples of how I've used it in my code. Data Structures and Algorithms (DSA): I was asked a single, relatively easy DSA question. It involved a common algorithm that was fairly straightforward to solve with a well-known approach. Advanced Concepts: We touched on a few more advanced topics, including chunking techniques for data processing and a high-level overview of Transformers in machine learning, which demonstrated an interest in my broader knowledge outside of the core job requirements.

Asked very basic python questions and is simple to crack .Also very basic knowledge of each and every topic is sufficient rather than diving deep into any single topic. At the end - average salary, average expectations.