L1 Round: The interview began with questions about my recent projects, followed by foundational machine learning topics like supervised vs. unsupervised learning, structured vs. unstructured data, data preprocessing, EDA, and data visualization techniques. I was asked about box plots, including Q1 vs. Q3 formulas and whiskers. They included 3–4 simple riddle questions and ended with an easy Python coding task to print a right-aligned triangle pattern: * ** *** L2 Round: This round focused on deeper discussions about recent projects, LLMs, and Generative AI use cases. One scenario-based question involved integrating AI into a healthcare website to flag incorrect prescriptions via UI warnings. Other questions covered APIs, securing localhost environments before deployment, writing and giving examples of test cases, and long-term career goals. Finally, they revisited salary expectations.
