Technology leader specializing in AI systems, cybersecurity, and master data management, with 19+ years of experience driving enterprise innovation across Product, PreSales, and R&D. I focus on building AI-ready platforms, accelerating product delivery, and enabling global teams with strategies that blend technical depth with practical execution.
Currently, I lead the development of an AI-agnostic, AI-driven productivity platform for internal R&D at Tanium, with a patent pending on its core technology. My work spans intelligent automation, agentic AI adoption, and cross-functional enablement between Product Management and field teams. I also design and build ROI and value-calculation frameworks—including churn-reduction models—to quantify product impact, demonstrate measurable business value, and accelerate customer adoption.
Previously, I led worldwide presales engineering organizations and collaborated with R&D groups at Orchestra Networks and TIBCO Software, contributing to flagship innovations including the EBX Data Quality Framework, the EBX GenAI Adaptor, and real-time MDM integration accelerators. My recognized original contributions include pioneering conversational AI within MDM platforms, designing advanced data quality engines, and delivering large-scale enterprise data modernization initiatives.
I am the co-author of Data for AI and AI Agents at Work, the latter ranked among Amazon's Top 100 titles in AI Category. These definitive guides on data infrastructure and applied agentic AI have been adopted across enterprises modernizing their AI capabilities. As the founder of Data-Nizant, I have authored extensive thought leadership on AI, cybersecurity, data strategy, and enterprise architecture. As an IEEE Senior Member, I am recognized for impactful contributions to AI, data management, and engineering leadership across global organizations.
