Algorithm optimization

31 Dec, 2024

Most Frequently asked algorithm Interview Questions (2024)

An algorithm is a step-by-step procedure or a set of rules to solve a problem or perform a task. It takes input, processes it, and produces output in a defined and finite number of steps. Algorithms are fundamental in computer science as they are the basis for programming and problem-solving in computing.

24 Dec, 2024

GitHub Staff Research Engineer, GitHub Next Interview Questions

If you're preparing for an interview for the Staff Research Engineer, GitHub Next role at GitHub, this guide will provide you with a comprehensive understanding of what to expect during the interview process, the types of questions that may be asked, and practical examples based on my experience interviewing for a similar role. As a Staff Research Engineer within GitHub Next, you will likely work on innovative and experimental features related to the future of software development. GitHub Next focuses on cutting-edge tools and technologies, so expect a mix of deep technical challenges, research-oriented problem-solving, and collaboration.

24 Dec, 2024

GitHub Staff Software Engineer - Search Interview Questions

If you're preparing for an interview for the Staff Software Engineer - Search position at GitHub, you’re aiming for a role that is central to the product's functionality. Search is one of the most critical features on GitHub, serving millions of developers around the world to navigate through vast codebases, repositories, and projects. This position will likely involve working on large-scale, high-performance systems, and the role may span areas such as ranking algorithms, search optimization, and distributed systems. Based on my experience interviewing for this role, here's a detailed breakdown of what to expect, including the interview process, the types of questions you may face, and how to approach them.

21 Dec, 2024

Opendor Senior Decision Scientist Interview Questions

As a candidate who recently interviewed for the Senior Decision Scientist position at Opendoor, I’d like to share my detailed experience of the interview process. This role is highly analytical and data-driven, requiring expertise in advanced analytics, decision science, and modeling. Below is a comprehensive breakdown of my interview experience, the types of questions I encountered, and insights into what Opendoor looks for in candidates.

11 Dec, 2024

Twitter Machine Learning Platform Engineer Interview Experience Share

The Machine Learning Platform Engineer position at Twitter focuses on building the infrastructure and platforms that support machine learning models across various product features, including recommendation systems. This role is highly technical, with a focus on creating scalable and efficient systems to handle large datasets and real-time processing. Based on my experience interviewing for this role, here's a detailed overview of the interview process, including key questions, stages, and tips to help you prepare.

09 Dec, 2024

Google Senior Software Engineer, AI Studio, Google Cloud Interview Experience Share

I recently interviewed for the Senior Software Engineer, AI Studio position at Google Cloud, and I want to provide a comprehensive overview of the interview process, the types of questions asked, and how you can best prepare for this highly competitive role. As a Senior Software Engineer at AI Studio, you would be expected to design, develop, and optimize AI-driven products and solutions that scale across Google Cloud’s infrastructure.

09 Dec, 2024

Google Senior Software Engineer, AIML GenAI, Google Cloud AI Interview Experience Share

I recently interviewed for the Senior Software Engineer, AI/ML GenAI position at Google Cloud AI, and I’d like to share a detailed and comprehensive overview of the interview process, the types of questions I encountered, and how to best prepare for this competitive role. This role, focused on Generative AI (GenAI), involves designing and implementing AI models that push the boundaries of natural language processing (NLP), computer vision, and other generative technologies within Google Cloud’s AI ecosystem.