Tulu Health

> I appeared for the **Tulu Health** interview process, which included coding, SQL, system design, machine learning concepts, and behavioral discussions. The interview focused on evaluating problem-solving ability, backend fundamentals, AI knowledge, and understanding of healthcare applications. > > The technical interview began with a **coding question to find the kth smallest element in an unsorted array**. I discussed multiple approaches, including sorting, heaps, and Quickselect, along with their respective time and space complexities. This was followed by an **SQL problem** where I had to write a query to identify patients who had attended more than three appointments in the last six months, testing my knowledge of joins, aggregation, grouping, and date-based filtering. > > The interviewer then moved to a lightweight **system design** discussion and asked me to **design a RESTful API for booking patient appointments**. I explained the required endpoints, request and response structures, database interactions, and strategies for handling scheduling conflicts and slot availability. > > The interview also covered AI and machine learning concepts relevant to healthcare. I was asked to explain the **difference between Generative AI and Predictive Modeling**, along with practical healthcare use cases for each. Another discussion focused on **building secure and scalable AI agents on WhatsApp**, where I talked about challenges such as data privacy, authentication, multilingual support, message rate limits, and scalability. The interviewer further asked **how I would evaluate an NLP model used for parsing medical documents**, where I explained evaluation metrics such as precision, recall, and F1-score, along with techniques like collecting more training data, fine-tuning the model, and incorporating rule-based validation to improve performance. > > The final round included behavioral questions, where I was asked to **describe a situation in which I took initiative on a project beyond my assigned responsibilities**. I answered using the STAR approach and highlighted my ownership, problem-solving, and ability to learn independently. > > Overall, the interview assessed a balanced combination of data structures and algorithms, SQL, backend design, machine learning fundamentals, product thinking, and behavioral skills. The discussion was interactive and emphasized practical applications of AI in healthcare.