I answered mid-level DSA questions covering arrays, strings, hashing, and time-complexity concepts. I also discussed AI basics such as supervised vs unsupervised learning, model training workflow, evaluation metrics, and how algorithms like regression, decision trees, and neural networks work at a high level.