Vishnu Kakaraparthi

Vishnu Prateek Kakarapathi is a Ph.D. candidate in Computer Science at Arizona State University, specializing in wearable AI, human activity recognition, health informatics, and generative AI. His doctoral work centers on PERACTIV, a wrist-centric system that leverages multi-modal sensing and explainable AI to advance personalized medication adherence monitoring. He has served as Co-PI on funded projects through the WearTech initiative and ASU’s Global Sport Institute, creating AI-driven tools for healthcare, sports analytics, and remote training.

Beyond health-focused AI, Vishnu works extensively with Generative AI, Retrieval-Augmented Generation (RAG), and multi-agent systems. His projects include AutoResumeGen, an intelligent resume generator powered by Crew AI and LangChain, and enterprise-ready GenAI pipelines developed during his internship at Boomi Inc. to automate documentation and real-time conversational systems. These contributions highlight his expertise in bridging applied LLMs, RAG-enabled workflows, and human-centered AI design.

Vishnu has published in international venues such as HCII and the International Conference on Smart Multimedia, and he is a co-inventor on a U.S. patent in human activity recognition. His work has earned recognition through ASU’s Graduate Teaching Excellence Award and Graduate Mentorship Award, alongside professional service as an editorial board member, program committee member, and reviewer for premier conferences and journals, including CHI, HRI, and TOMM.

His broader research interests lie at the intersection of wearable computing, generative AI, and human-computer interaction, with the goal of designing transparent, reliable, and socially impactful AI systems that advance both healthcare and human augmentation.