Systems built for the real world.

Prior Experience

Before starting Toutami, I led data science and AI organizations across retail, consumer goods, and financial services, building large-scale systems used in real operational environments.

At Lowe's, I led applied AI across merchandising, supply chain, stores, and customer experience — working on problems such as demand forecasting, inventory optimization, pricing, and decision support systems used by planners, operators, and executives.

At Gap and Clorox, I led teams building forecasting, personalization, and enterprise data systems where the challenge was not just modeling, but making the outputs usable inside real workflows.

Earlier in my career, at Genpact and Citi, I worked across analytics, risk, and operations — which gave me an early understanding of what it means to deploy models at scale in environments where decisions have real financial and operational consequences.

Across all of these roles, the work that held my attention most was always the work closest to real decisions — what to order, how to price, where to invest, how to allocate, what to change next. Not dashboards for their own sake, but systems that change what someone actually does.

Speaking & Advisory

I speak and advise on AI strategy, decision systems, platform architecture, and leadership — especially for organizations trying to move from demos to real production systems.

My perspective comes from building and leading AI organizations inside large enterprises, and now from starting a company focused on decision-oriented platforms.

Most of the conversations I have with teams are not about models themselves, but about the systems around them — data, workflows, incentives, and the way decisions actually get made.

I only take on a small number of advisory or speaking engagements each year. If you think the work you're doing overlaps with these problems, feel free to reach out.