1. Work on AI/ML projects involving classification and regression model training and deployment. 2. Perform feature engineering, data preprocessing, and dataset analysis. 3. Build and optimize machine learning models using XGBoost and related frameworks. 4. Work on LLM based applications, prompt engineering, and AI workflow automation. 5. Updated Intern’s responsibilities: Develop and maintain backend APIs using Python and Fast API. 6. Test applications, validate outputs, debug issues, and improve system performance. 7. Use AI coding assistants/tools such as Claude Code or similar tools to improve development productivity. 8. Collaborate with the team to build scalable AI-powered products and internal tools.