I lead AI-driven digital product development guided by a philosophy rooted in growth, innovation, and enduring customer value. At its core, my approach to product management begins with customer-centricity—a steadfast commitment to understanding and addressing real user needs through continuous research, empathy, and feedback loops. By aligning these insights with broader business objectives, I ensure that every product decision delivers measurable impact while maintaining strategic coherence.
With deep expertise in Generative AI, Machine Learning, Computer Vision, and NLP, I build intelligent, high-performing products and services that balance innovation with responsible adoption. Over my career, I’ve driven digital transformation across Fortune 50 companies such as Google, IBM, Disney, and Humana, achieving 35% faster time-to-market, 18% higher adoption, and double-digit gains in satisfaction and efficiency.
My product leadership spans healthcare, marketing, and commerce—encompassing telehealth copilots, predictive disease-management systems, and AI-powered recommendation engines that redefined engagement and outcomes. As an entrepreneur, I’ve led ventures including MHK (medical knowledge platform acquired by Hearst Health for $100M), AccuGI Imaging (a surgical visualization suite incubated at UIUC/Carle Medical School), Patient Tracker (RFID-based hospital wearables, incubated with Google Vertex AI), and Precision Pharma (personalized 3D pharmaceutical printing in partnership with Abbott Research). Each demonstrates end-to-end product mastery—from discovery and incubation to scale and exit.
Today, as Co-Founder & CEO of Sartori AI, I apply this precision to fashion-tech and retail intelligence, merging computer vision, multimodal recommendations, and generative design to create personalized wardrobes and smart-mirror ecosystems. Through Sartori’s Fashion Data Broker model, we bridge consumer wardrobe data with retail analytics—fostering sustainability, personalization, and a new dimension of consumer-AI interaction.
I believe in iterative execution, leveraging agile principles, data-driven decision-making, and rapid experimentation to navigate evolving markets. Just as importantly, I champion cross-functional collaboration as the foundation of scalable success—building bridges between engineers, designers, marketers, and executives to transform vision into value.
My interdisciplinary grounding in quantitative finance, algorithmic trading, and risk management strengthens my ability to connect insights across healthtech, fintech, and consumer AI domains. Above all, I maintain a growth mindset, continually learning, adapting, and inspiring teams to innovate responsibly—delivering technologies that not only drive competitive advantage but also create meaningful, sustainable impact.
Throughout my career, I’ve embraced a collaborative and empowering leadership style that prioritizes people and purpose. Whether through growing AI/ML products from pre-market stages to multimillion-dollar growth, or optimizing large-scale product suites in mature organizations, I thrive in environments where innovation and technology meet customer needs.
If you’re interested in discussing how I can contribute to your organization’s success, please reach out. You can find more details on my LinkedIn profile. Thank you for considering my candidacy, and I look forward to the opportunity to connect.
My academic experience—Wharton Post Grad Fellow, MBA, and Post Grad Program in Artificial Intelligence & Machine Learning (PGP-AIML)—underscore a commitment to lifelong learning and enable me to approach complex business challenges with technical precision and strategic clarity.
Innovation Management and Entrepreneurship
The Wharton School of Business at the University of Pennsylvania
Carnegie Mellon University
Heinz College of Information Systems and Public Policy
McCombs School of Business at the
University of Texas at Austin
Data Analytics Concentration
Gies College of Business at the University of Illinois Champaign
Foundations of Financial Engineering (FFE)
WorldQuant University, Washington, DC
University of Chicago
Polsky Center for Entrepreneurship and Innovation
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