About
Veera Ravindra Divi is 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. He holds a Master of Science degree from a U.S. university and brings more than 11 years of professional experience across investment banking, enterprise retail technology, and large-scale software platforms.
His 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. His work spans event-driven systems, cloud-native platforms, enterprise integration, AI-assisted software engineering, and high-availability commerce workflows.
His recent IEEE-accepted research explores human-assured agentic interoperability for resilient B2B systems and edge-cloud learning for delivery-promise optimization in B2B pallet logistics. His current research focuses on AI-augmented interoperability for complex eProcurement ecosystems, including ERP integration, marketplace orchestration, multi-entity procurement workflows, and resilient supply chain execution.
Through his research and engineering practice, he examines how domain-aware AI agents, reliable event-driven architectures, and governed automation can modernize enterprise procurement without compromising security, auditability, or operational reliability.
Skills & Expertise
System Design
Software Mentor
Build AI Agents
Research Interests
AI
datascience
cloud computing
B2B2C and B2C sales systems
Computer Programming
Resilience Models
Artificial Intelligence (AI)
Connect With Me
Education
University of North Texas (UNT)
Professional Memberships (1)
Soft Computing Research Society (SCRS)
Country: United States
Publications (2)
Architecture review at most organizations is a serial, expert-bound activity: a small number of senior engineers read a design, apply tacit heuristics, and produce decisions whose rationale is rarely...
The explosive growth of data-intensive applications
has created an urgent need for cost-effective cloud computing
solutions. While preemptible cloud instances such as AWS Spot
Instances, Azure Spot...
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