The interview process comprised two distinct rounds. The first was a coding interview, designed to assess programming skills and problem-solving abilities. Following this initial stage, candidates participated in a virtual onsite session. This second round was more comprehensive, featuring two coding challenges that tested technical proficiency in real-world scenarios. Additionally, there was a behavioral interview aimed at evaluating the candidate's soft skills, workplace compatibility, and situational judgment. The final part of the process involved a machine learning design question, focusing specifically on building a recommendation system. Overall, the experience was highly engaging and provided a well-rounded assessment of both technical capabilities and personal attributes.