Deep understanding and hands on experience in Machine Learning(supervised, unsupervised, and reinforcement learning), Deep Learning architectures (CNNs, RNNs, Transformers, and modern neural network frameworks), Natural Language Processing (NLP), text analytics, sentiment analysis, information extraction, and conversational AI, Generative AI concepts( Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Agentic AI) and fine-tuning methodologies. Experience in designing, developing, and optimizing AI solutions using frameworks such as PyTorch, TensorFlow, OpenVINO, Hugging Face, LangChain, Semantic Kernel, or similar platforms.