Manikanta Viswanadhapalli

Passionate about advancing the field of Artificial Intelligence and Machine Learning with a strong focus on Large Language Models (LLMs), domain-specific fine-tuning, multimodal AI, and enterprise-grade model development. Actively exploring transformer architectures, parameter-efficient fine-tuning (LoRA/QLoRA), Retrieval-Augmented Generation (RAG), Agentic AI systems, and scalable inference optimization. Interested in building high-impact AI solutions across domains such as fisheries, oceanography, education, sports, and business intelligence using open-source ecosystems like �, �, and �. Continuously experimenting with custom datasets, instruction tuning, synthetic data generation, and deployment-ready ML pipelines to create intelligent, production-level AI applications. huggingface.co pytorch.org langchain.com. Continuously experimenting with custom datasets, instruction tuning, synthetic data generation, and deployment-ready ML pipelines to create intelligent, production-level AI applications.