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 patents, publications, mentorship.

I believe AI must be responsible, resilient, and sustainable. I design robust, adaptive, climate-aware infrastructure that aligns cutting-edge AI with long-term efficiency and reliability - minimizing 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 grows responsibly with compute demands.

Beyond industry, I co-founded Circassian DNA, a non-profit initiative leveraging AI-driven genealogy and genetics to reconnect the Circassian diaspora. We uncover shared ancestry, reinforce cultural identity, and rebuild connection across generations, geographies. I see the power of AI not only to solve complex challenges but also to foster human connection, preserve cultural heritage, and drive meaningful impact.