I’m the founder of Leveragai, a GenAI-driven training platform designed to help organizations move faster from expertise to structured, high-quality learning. My work sits at the intersection of AI research, product development, finance and education, with a strong focus on making advanced models usable, reliable, and domain-aware.

I hold a PhD in Financial Mathematics and currently serve as Adjunct Faculty at the University of Maryland, Baltimore County (UMBC), where I teach courses on generative AI product development and domain-specific AI applications. I’m also the author of the O’Reilly book Machine Learning for Financial Risk Management with Python and an active researcher in applied AI.

Before founding Leveragai, I worked on large-scale data and AI initiatives for global organizations including Vodafone and TFI TAB Foods, helping transform complex data operations into production-ready systems. That experience continues to shape how I approach AI today: research-grounded, product-led, and built for real-world impact.

My focus areas include: Generative AI for finance and education Domain-specific AI models Knowledge-centric systems (RAG, GraphRAG, AI agents) Scalable AI product design