Connecting enterprise BI, ERP, and governed data products to production-safe AI.
AI platforms, RAG, vector search, governed analytics
I build and run the systems that sit between operations, finance, and decision-making. That means enterprise reporting you can trust, data quality that holds up under pressure, and AI features that can safely touch real workflows.
Boston, MA · Architecting Enterprise Systems, Data Governance, & Applied AI
Short, practical notes on how to modernize reporting, govern data in messy environments, and ship AI features without breaking trust.
Most AI efforts fail in the handoff from prototype to operations. The fix is not a better model. It's governance, observability, and contracts that survive real workflows.
Read ArticleThe fastest dashboards still fail if the data is not trusted. The playbook is definition control, quality gates, and a release process that treats reporting like a product.
Read ArticleAI features that ship without breaking user trust share a common pattern: they make their reasoning visible, fail gracefully, and give users a way out.
Read ArticleI work at the seam where operations, finance, and technology collide. My job is to make systems reliable, metrics defensible, and new capabilities safe to ship. That includes modern analytics, automation, and AI, but the priority is always the same: business outcomes you can stand behind.
Systems win when they are designed around decisions. I map KPIs to workflows, define metrics once, and build reporting and automation that stays correct as the business changes.
I modernize legacy environments without breaking the business. That means staged migrations, governed datasets, quality gates, and interfaces that let domain teams move faster with fewer surprises.
I tie engineering to outcomes: cycle-time reduction, cost removal, and fewer manual steps. The goal is a business that can answer questions fast, act confidently, and audit how decisions were made.
The platforms, tools, and pipelines I orchestrate to connect enterprise operations to actionable data and production AI.
Real systems work. Governance, reporting trust, automation, and AI features that can survive production constraints.
INTERACTIVE SANDBOX
Cinematic portfolio environment for governed analytics, data operations, pipeline automation, and operating intelligence.
DATA & ANALYTICS OPERATIONS
Interactive operations dashboard demonstrating how a service owner manages end-to-end D&A operations in a managed services model. Five operational views cover the full scope of data and analytics service delivery.
GOVERNED DATA PRODUCT
Governed, finance-grade revenue dataset on the Databricks Lakehouse with a published data contract and blocking data quality gates.
