About me
Yuvraj Pradhan is an AI Systems Engineer specialising in cost-efficient GenAI and secure multi-agent architectures. He is the first author of research published in Springer Nature on architecting a 125M-parameter NanoLLM for STEM tasks that outperforms significantly larger models. His work spans scalable enterprise RAG pipelines and AI security, building open-source systems for reliable, safe, and efficient AI in production.
