Professional Experience

Chief AI Officer (CAIO)

As Chief AI Officer at The Zebra—the nation's leading insurance comparison marketplace—I lead artificial intelligence product strategy, data science, and engineering to simplify how millions of users compare and buy insurance.

My focus centers on fine-tuning models for transaction flows, deploying deterministic tool orchestration in agent frameworks, operating customer experience agents, and building scale-ready, enterprise-wide AI governance and compliance frameworks.

Senior Product Manager, AI & CoreML Infrastructure

I led key product efforts in Google's AI infrastructure division, building the systems that power modern warehouse-scale machine learning. As a product leader for the CoreML frameworks team and critical serving infrastructure for Google's next-generation Gemini models, I partnered with researchers across Google DeepMind and Google Research to enable robust, ultra-fast model training pipelines.

During this time, I authored the ML Productivity Goodput framework on the Google Cloud Blog and led the development of its open-source measurement library in the AI-Hypercomputer/ml-goodput-measurement repository to optimize production TPU/GPU fleet efficiency and reduce training disruption overhead.

Product & Engineering Leadership

Before Google, I spent over a decade designing, operating, and scaling complex technical product architectures. At Vroom, Capital One, and Priceline, I drove advanced digital products, machine learning initiatives, massive A/B testing engines, and platform scaling across high-volume transaction systems.

During this journey, I co-founded two startups, successfully raised venture capital, and led a consumer product launch that attracted international media attention, peaked at #3 in the App Store, and served over 500,000 active customers on its opening weekend.

B.S. in Electrical Engineering

I completed my B.S. in Electrical Engineering at Mississippi State University, focusing my academic research on signals and systems, control systems, and computational frameworks. This work built the foundational mathematics and analytical principles that still guide my approach to deep learning systems and computing clusters today.