My work lives at the intersection of AI/ML engineering, product execution, and healthcare innovation, where precision, trust, and real-world impact matter most.

My journey into AI was shaped less by theory and more by systems - understanding how data becomes decisions, and how those decisions affect people. I focus on translating complex machine learning models into scalable, production-ready platforms that move beyond research and into deployment.

As Co-Founder & COO at Neuralyn, I lead execution across AI strategy, product development, and operations. I care deeply about building AI that is explainable, secure, and designed for environments where accuracy is non-negotiable.

Alongside this, I’ve trained over 4,600 learners worldwide in Ethical Hacking - sharpening my ability to think adversarially and design technology that anticipates risk.

In everything I build, I value clarity over complexity and impact over abstraction. I believe the future of healthcare AI belongs to systems that are thoughtful, human-centered, and engineered to earn trust.