Veera Ravindra Divi

I am a principal-level software engineer, independent researcher, and IEEE-published author working at the intersection of agentic AI, distributed systems, and mission-critical B2B commerce. I hold a Master of Science in Computer Science and bring more than eleven years of professional experience across investment banking, enterprise retail technology, and large-scale software platforms.

My professional background includes building low-latency trading systems at Wells Fargo and designing scalable distributed systems, AI orchestration platforms, and B2B marketplace architectures at Amazon. My work spans event-driven systems, cloud-native platforms, enterprise integration, AI-assisted software engineering, and high-availability commerce workflows.

My research focuses on reliability, evaluation, and guardrails for agentic AI and LLM systems — including human-assured agentic interoperability for resilient B2B systems, and AI-augmented interoperability across complex eProcurement ecosystems such as ERP integration, marketplace orchestration, and multi-entity procurement workflows. Through both research and engineering practice, I examine how domain-aware AI agents, reliable event-driven architectures, and governed automation can modernize enterprise systems without compromising security, auditability, or operational reliability.

I also founded and maintain Assevra AI, an MIT-licensed open-source reliability scorecard for LLM agents, and I serve the research community as a technical program committee member, peer reviewer, and speaker.