Dinesh Medisetty

Aspiring Generative AI enthusiast with a solid foundation in Python, Machine Learning (ML), Deep Learning (DL), and Data Structures. Experienced in developing end-to-end AI/ML pipelines, leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to build scalable, production-grade AI solutions. Skilled in model fine-tuning, prompt engineering, vector databases (e.g., FAISS, Pinecone), and cutting-edge generative AI technologies.

Proficient in NLP, computer vision, transformer architectures, and frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and OpenAI APIs.

Committed to continuous learning, advocating for ethical and responsible AI, and contributing to impact-driven enterprise projects with strong ownership, cross-functional collaboration, and problem-solving skills.