John Selvaraj Arulappan

Lead AI Engineer @ADP

October 28-30, 2026Oakland University, Rochester, MI

About John Selvaraj

As a Lead Engineer at ADP I design and implement AI-driven enterprise systems including anomaly detection pipelines, intelligent automation workflows, and cloud-based microservice architectures at scale. My published research in the International Journal of Science and Research focuses on practical AI applications in enterprise environments, including AI-powered chatbots leveraging Retrieval-Augmented Generation (RAG), Azure OpenAI, and Cosmos DB, as well as microservice frameworks for configurable anomaly detection and real-time alerts. I bring a practitioner's perspective to integrating AI into complex, regulated enterprise operations — emphasizing implementable patterns, human-in-the-loop design, and systems that augment expertise rather than replace it.

Conference Sessions

Conference SessionBeginner60 min

Case Study: Designing AI-Augmented Enterprise Investigation Systems

Enterprise investigations slow down when evidence is scattered across systems. The challenge is bringing retrieval, agent workflow, and human oversight together without burying investigators in more noise. In "Case Study: Designing AI-Augmented Enterprise Investigation Systems", Santosh Vasudevan and John Selvaraj Arulappan connect AI agents and RAG to investigation workflows where speed still needs human judgment.

Topic: Artificial Intelligence and Machine Learning
Time: Oct 30, 2026, 3:45 PM
Room: Room E