My expertise extends across a wide range of modern AI tools and frameworks that enable me to build scalable, production-ready applications. I use TensorFlow and PyTorch to design, train, and optimize deep learning models for computer vision, natural language processing, and predictive analytics. LangChain helps me develop intelligent LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and AI chatbots with seamless integration of vector databases. I leverage Streamlit to rapidly create interactive dashboards, AI demos, and machine learning web applications for deployment and testing. Git is an essential part of my development workflow, enabling efficient version control, collaboration, and continuous code management. Together, these tools empower me to deliver innovative, reliable, and high-performance AI solutions that address real-world business challenges.