My interview primarily focused on Generative AI concepts, evaluation metrics for classification models, and vector embeddings, emphasizing their theoretical foundations, mathematical intuition, real-world applications, and implementation-level understanding across modern AI systems, including discussions on model architectures, performance analysis, and practical optimization techniques used in generative and embedding-based models.