Generative AI and Large Language Models (LLMs) with a focus on NLP, transformer-based architectures, model fine-tuning, instruction tuning, dataset engineering, conversational AI, RAG, embeddings, model evaluation, and deploying open-source AI models into real-world applications. Interested in building practical, efficient, and production-ready AI systems with Hugging Face, PyTorch, and modern ML tooling.