I am an AI/ML Engineer with expertise in MLOps, distributed training, and scalable infrastructure, delivering production-grade ML systems across cybersecurity, financial services, network intelligence, and analytics. My work spans the entire ML pipeline — from data engineering and model development to deployment and lifecycle management — supported by a strong track record of patents, peer-reviewed publications, and hands-on mentorship of junior engineers and research interns.

I believe AI must be responsible, resilient, and sustainable. I design robust, adaptive, climate-aware infrastructure that aligns AI with long-term efficiency and reliability - minimizing wasted compute cycles, optimizing power consumption, and reducing overhead without compromising scalability or performance. I embed sustainability into AI engineering to enable trustworthy, energy-efficient innovation that scales and grows responsibly with rising compute demands.

Beyond industry, I co-founded Circassian DNA, a non-profit initiative leveraging AI-driven genealogy and genetics to reconnect the Circassian diaspora. Our team uncovers shared ancestry, reinforces cultural identity, and rebuilds connection across generations, geographies, and shifting borders. I see the power of AI not only to solve complex technical challenges but also to foster genuine human connection, preserve cultural heritage, and drive meaningful, lasting real-world impact.