Data & AI Architect
Architecture that reaches the decision.
I build the path from governed enterprise data to production AI and decision systems—combining architecture, statistical rigor, and hands-on delivery.
Three connected layers
The strongest data platforms do more than centralize information. They create a reliable path from source systems and shared definitions to models, workflows, and decisions people can trust.
Enterprise data foundations
Target architecture, ingestion, lakehouse patterns, semantic consistency, governance, lineage, and platform modernization.
Production AI & forecasting
Statistical and ML systems designed for reproducibility, deployment, monitoring, uncertainty, and long-term maintenance.
Decision integration
Forecasts, scenarios, and AI products aligned to operational constraints, stakeholder incentives, and measurable action.
Technical leadership & program delivery
From client acquisition to working product.
Across consulting and enterprise engagements, I connect the engagement lifecycle to the technical lifecycle: discovery, SOW development, team formation, architecture, advanced algorithm development, and delivery.
This includes enterprise program leadership at ConvenientMD, client and team management with Statistics Without Borders, and technical authority for predictive-model strategy at Superscript.
Selected systems
Two examples show the through-line from architecture to operational use.
Healthcare operations
Enterprise data platform to staffing decisions
A forecasting request became a governed data and ML program connecting clinical, workforce, finance, scheduling, and external systems.
Evidence: Probabilistic capacity forecasts supporting staffing decisions across 45 clinics.
Read the case studySemiconductor manufacturing
Production ML for high-value industrial equipment
Containerized data and ML pipelines moved laser telemetry into predictive maintenance, simulation, and operator-facing workflows.
Evidence: Four pending U.S. patent applications across forecasting, digital twins, control, and agentic AI.
Read the case studyEvidence beyond the case studies
Research
PNAS co-author and first-author Bayesian time-series methods.
Industrial IP
Four pending U.S. applications in forecasting, digital twins, control, and agentic AI.
Technical leadership
Platform business cases, cross-functional delivery, team growth, and executive communication.
Public service
Statistics Without Borders Outstanding Contributor of the Year, 2025.
What I am looking for
Hands-on technical leadership from architecture through outcomes.
I am interested in Principal, Lead, and Data & AI Architect roles that combine hands-on engineering and advanced modeling with architecture, team leadership, and operational delivery.