Building Scientific AI, Agentic AI, Retrieval-Augmented Generation (RAG), Engineering Intelligence, Materials Informatics, and Advanced Manufacturing AI Solutions.
I am an AI Engineer and Applied AI Scientist specializing in Artificial Intelligence, Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI Systems, Scientific AI, Materials Informatics, and Engineering Intelligence.
My work focuses on transforming scientific literature, engineering data, and domain knowledge into deployable AI systems that support materials discovery, fatigue prediction, advanced manufacturing, engineering analytics, and scientific decision-making.
Scientific AI platform for materials discovery, literature intelligence, property prediction, and engineering decision support.
View GitHubAI platform for fatigue-life prediction, reliability analytics, S-N curve intelligence, and aerospace alloy assessment.
View GitHubProduction-oriented multi-agent AI platform with planning, retrieval, evaluation, monitoring, and grounded responses.
View GitHubCitation-grounded scientific retrieval system for PDF intelligence, hybrid retrieval, and knowledge reasoning.
View GitHub30+ Peer-Reviewed Publications
1400+ Citations | h-index 22
Scientific AI, Materials Informatics, Fatigue Prediction, Engineering Analytics, Advanced Manufacturing AI
Email: ravindranadhbobbili@gmail.com
LinkedIn: linkedin.com/in/ravindranadh-bobbili-768ab91a7
GitHub: github.com/RavindranadhBobbili
Google Scholar: Google Scholar Profile