1. Developing and applying AI models for chemical process analysis and optimization. 2. Conducting research on AI-driven solutions for predictive maintenance, chemical yield prediction, and quality control. 3. Working with structured and unstructured chemical and industrial datasets. 4. Applying Natural Language Processing (NLP) techniques for processing scientific literature and patents. 5. Building intelligent automation tools to assist R&D and production teams. 6. Collaborating with domain experts to deploy AI-based industrial solutions.