The interview was highly practical, focusing on hands-on experience and real-world applications, particularly with Python, PostgreSQL, and optimization techniques. While the initial questions were fairly basic, they were thoughtfully designed to build a strong foundation for deeper exploration. The interviewer’s follow-up questions were insightful, steering the conversation towards understanding core concepts and demonstrating problem-solving skills. This approach provided a well-rounded assessment of technical knowledge and the ability to apply it in practical scenarios. Overall, the interview balanced simplicity with depth, allowing for a comprehensive evaluation of both expertise and thought process.