Tanna Prasanth kumar

I am an AI/ML engineer focused on deep learning, generative AI, and building LLM-powered agentic workflows. I specialize in model development, fine-tuning, prompt engineering, and deploying scalable solutions using PyTorch, TensorFlow, and modern transformer architectures.

My experience includes developing AI agents with LangChain, LangGraph, and Hugging Face, integrating vector databases and retrieval-augmented generation, and contributing to open-source protocols such as the Model Context Protocol. I have delivered measurable improvements—such as boosting model accuracy, reducing inference time, and improving system performance—across internships and projects.

I bring hands-on MLOps experience with tools like MLflow, Docker, and Git, and I am passionate about building multimodal applications and agentic systems that synthesize information across sources to solve complex tasks.