02 / ABOUT ME

Comfortable with
the business and the build.

I connect customer requirements to system design and stay hands-on through the build.

I work with executives, account teams and engineers to define the problem, choose the right data and AI approach, and validate it through working prototypes. My work connects data platforms, models, application experiences and business outcomes across retail, consumer goods, manufacturing, healthcare and supply chain.

I’ve benchmarked and deployed traditional ML and neural-network models since 2018. At Mu Sigma, I deployed ML and data engineering pipelines on GCP with Jenkins. At Staples, I built SARIMAX and XGBoost forecasting models and benchmarked neural approaches including N-BEATS and N-HiTS. That grounding in statistics, machine learning and neural networks informs my GenAI and agent architecture work today.

At MathCo, I lead and orchestrate engineering GTM pursuits, bringing in domain experts, specialist architects, delivery and customer success while staying hands-on with demos, custom prototypes and architecture on Snowflake, Databricks and GCP. Earlier, I built analytics and data products at Staples and helped grow a retail engagement at Mu Sigma.