Ranjani Narayanan

I'm a PhD Candidate at Georgia Tech, advised by Prof. Karen Feigh at the Cognitive Engineering Center. My research focuses on how people understand, trust, and collaborate with AI in complex, multi-agent settings, drawing on cognitive science, human factors, and sociotechnical evaluation. This work has been published and recognized across leading AI, HCI, and human factors venues.

I also have experience in building end-to-end deep learning (NLP, Computer Vision, and Reinforcement learning) pipelines. Through Applied research roles at GE Aerospace Research and Autodesk, I have developed proof-of-concept methods to enhance LLM reasoning, evaluate RAG inconsistencies, and benchmark models for scientific tasks. My work spans dataset creation, model development, experiments and ablations, and performance evaluation. I'm driven to build reliable, interpretable, and human-centered AI systems grounded in real-world impact.