Strategic storyteller and business leader specializing in intelligent automation, agentic AI, and enterprise value creation.
"Strategic storyteller bridging the worlds of engineering, business, and AI."
I am a business leader with over 9 years of experience spanning research, engineering, and management consulting. My work is grounded in rich industry experience at IBM and Ford Motor Company, where I've turned complex data and insights into actionable strategies that drive measurable results.
I specialize in intelligent automation, agentic AI, and enterprise transformation, working across business and technical teams to tackle tough challenges and turn big ideas into reality. I'm also a certified Generative & Agentic AI Consultant and Project Manager.
Innovative safety system for autonomous vehicles designed to enhance occupant protection through advanced robotic mechanisms and intelligent response systems.
View Patent →Novel methodology for generating and simulating complex traffic scenarios to improve autonomous vehicle testing and validation processes.
View Patent →Bio-inspired approaches to helmet design combining finite element modeling and experimental testing. Prototype keeps acceleration peaks under ECE22.05 Head-Injury-Criterion limits.
Conference → Publication →Lebanon's 2019 currency crisis, one of the world's worst financial collapses since the 19th century, threatened the country's entire economic and social fabric. Filmed during my time at Michigan Ross, I explore the twin deficit phenomenon at both the fiscal and balance-of-trade levels.
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Work within the Strategic Sales and Enterprise Strategy group with special focus on AI and Cybersecurity solution sales, development and deployment.
Serve as trusted advisor to C-suite executives on AI strategy, transformation programs, and enterprise value realization. Designed and delivered ROI/value case models underpinning $100M+ pursuits, shaping industrial product strategies, and driving cost savings and new revenue opportunities.
Led an 8+ person team to launch Ford's first ADAS cloud analytics platform, automated scenario extraction, and delivered $5M hard savings. Scaled L2+ simulation by 10× via Kubernetes-based framework and partner ecosystem.
Pioneered scenario-based MBSE method for SOTIF verification, saving $10M in testing. Advanced data governance for ML assets, led university research collaborations, and contributed to SAE J3187 best-practice standardization.
Continuum damage coupled plasticity model and validation for magnesium alloy AZ31B with time-dependent and anisotropic behavior.
Read Publication →Finite element and experimental evaluation framework for safer helmet design with improved energy absorption and impact mitigation.
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