Facing the system design question about building a recommendation system, I felt a wave of relief — it was the same type of problem I'd just practiced on prachub.com a few days prior. The interview kicked off with a recruiter screen, followed by a technical round where I was pressed on algorithm efficiency and model evaluation metrics. They drilled down into handling sparse data and cold-start issues, making me think critically. After a grueling but rewarding process, I was thrilled to receive an offer, which I gladly accepted.