I am an applied-AI and data-governance executive, NYU Adjunct Assistant Professor, and author specializing in ethical AI, innovation governance, and AI-native system design. My joy is to build trustworthy, scalable, and human-centered AI solutions. I share insights about AI research & industry extensively on LinkedIn. Welcome to follow me!

My work spans multimodal AI, responsible innovation, data ethics, hybrid human–AI cognition, and enterprise transformation. I have led major AI strategy initiatives at global financial institutions, including NVIDIA DGX SuperPOD deployments, enterprise ModelOps, MLOps, & DevOps frameworks, and partnerships with Google Cloud, Microsoft Azure, and Amazon AWS to accelerate safe and explainable AI adoption. My research integrates insights from large-scale AI systems, statistical modeling, reinforcement learning, and emerging digital architectures to understand how humans and intelligent systems can collaborate through moral feedback loops.

At NYU, I teach graduate courses in data science, analytics, IT strategy, and project management, supervising over 100 Applied Technical Projects and guiding students in responsible technology development. I create frameworks such as Human ETHOS, ECTM, and the EXAI Manifesto to help leaders evaluate and scale emerging technologies with transparency and integrity.

As an author of The Hybrid Mind, Mastering IT Innovation, and Data Insights, I explore how ethical intelligence, disciplined innovation, and responsible AI governance can reshape industries. I also founded HuMAINority, a nonprofit committed to democratizing AI tools for underserved communities and ensuring technology advances equity, access, and opportunity.

Across enterprise, academia, research, and social impact, my mission is simple: to guide organizations and leaders through ethical, AI-native innovation that creates real, measurable impact.

Dreamer

Featured Publications

The Hybrid Mind: The Human-AI Convergence

A framework for integrating human judgment and AI intelligence through ethical design, governance, and reflective system thinking.

Mastering IT Innovation: 90-Day Proof of Value Blueprint

A practical roadmap for leaders to validate, scale, and operationalize technology innovation with measurable business impact in 90 days.

Data Insights: Core Principles of Statistical Analysis for Storytelling

A guide to transforming data into clear, compelling insights that drive executive decision-making and strategic action.

Research Highlights

Ethical eXcellence in Artificial Intelligence | EXAI Manifesto

EXAI Manifesto

Conference Papers


From Experimentation to Impact: Governing Enterprise Innovation Through Crucial Use Case Identification


Strategic Innovation Governance: Identifying Crucial Use Cases via an Experimentum Crucis Technology Matrix (ECTM)