• Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making.
• Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications.
• Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management.
• Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations.
• Developing modern web applications using Angular to create interactive and AI-powered user interfaces.