I build data-powered systems, from cloud foundations to workflow apps and AI tools people can actually use.

What I Build

Data foundations that become useful software.

I work across the whole path: source systems, cloud platforms, data products, workflow tools, and AI-assisted experiences. The common thread is turning operational complexity into something people can trust and use.

Explore selected builds

Multi-cloud background

AWS + Azure + GCP

Data products at scale

Millions of rows/day

AI with guardrails

Agents + rules

Personal products

Published apps

Data platforms

Make the foundation trustworthy

Lakehouses, pipelines, semantic layers, governed workspaces, and the operating details that keep decisions grounded.

Operational apps

Turn the workflow into software

Dashboards, portals, maps, APIs, trackers, and SaaS-style tools that make messy business processes easier to run.

AI-assisted systems

Add intelligence with control

Agents, summaries, research flows, and automation wrapped in source checks, permissions, logs, and human review.

Profile picture

Data, apps, cloud, and AI

Practical systems that help people make decisions and get work done.

About Paul DeSalvo

Builder with deep data architecture roots.

My work sits where cloud platforms, data products, operational workflows, and AI-assisted tools meet. I like systems that are clear enough to use, durable enough to trust, and practical enough to survive real constraints.

The goal is not to make technology look impressive. The goal is to make important work feel less tangled.
Follow the problem end to end.
Keep the data and permissions trustworthy.
Ship the usable version, then improve it.
Prefer durable systems over impressive demos.

Next step

See the production work behind the positioning.

The work page has the public-safe version of the production systems and flagship personal builds behind this site.

Live appsPublic-safe build notesPractical essays