I build real-world GenAI solutions for organizations that can’t afford to get it wrong.
My career spans national security, enterprise software, and next-generation AI platforms, with more than a decade focused on solving complex problems at the intersection of data, intelligence, and technology. I began in the intelligence community, serving eight years with the NSA and across the IC in intrusion defense, intelligence analysis, and mission-critical cyber operations. That experience in high-stakes security, pattern recognition, and adversarial thinking continues to shape how I approach GenAI strategy and deployment today.
Since then, I’ve led product and platform initiatives in digital ecosystems, advised startups, and worked across the data science landscape helping organizations move from experimentation to production. Much of my work focuses on making generative AI models more knowledgeable and reliable by grounding them in domain-specific data, mission context, and real operational constraints across national security, research, and healthcare.
Today, as an AI Solutions Advisor at Red Hat and IBM, I partner with government agencies, research institutions, and enterprises across North America to design scalable GenAI systems that work in the real world. The goal is never novelty — it’s better decisions, faster execution, and durable advantage.
