I'm thrilled to say that I was selected in Amazon. There was a résumé shortlisting round, and after my résumé got selected, my interview was scheduled. # Interview Process There were two in-person interviews. ## 1. DSA Round This round focused on problem-solving and core data structures. I was asked two medium–hard level questions: One was a graph traversal question with a DP twist, which made it slightly tricky. The second was based on 1-D Dynamic Programming. ## 2. ML Breadth & Depth Round This round covered a wide range of Machine Learning concepts. Topics included: Self-attention mechanism Transformer architecture (encoder and decoder) Deep learning training process Classical ML algorithms Towards the end, I was also asked conditional questions on overfitting and underfitting, which tested conceptual clarity. Overall, I would rate the difficulty as medium to hard. # Advice for Others Practice 2–3 DSA questions daily and stay consistent. Build strong conceptual understanding of ML algorithms and architectures. Study the concepts of overfitting and underfitting in depth.