Enabling intelligent, scalable, and resilient supply chain decisions

I apply mathematical modeling, operations research, predictive analytics, and data-driven methods to develop scalable decision systems and automated tools for complex business applications. My work focuses on optimization and decision support across supply chain design, planning, and operations, including network design, inventory planning, disruption analysis, and decision-making under uncertainty. I also build the data workflows, analytical platforms, and application layers needed to translate models into practical, implementation-ready solutions. My background spans automotive manufacturing, oil and gas, software development, supply chain optimization, and academic research. My contributions in optimization and analytics have been cited more than 1,000 times on Google Scholar.