The engineer

DEFCON Digital is one engineer, on purpose

I'm TJ Soregaroli. For the last eight years I've built production systems that businesses depend on — AI document pipelines, cloud data platforms, and infrastructure supporting thousands of connected devices. DEFCON Digital is how I work directly with the businesses that need those things built right.

What I've actually built

My background is production engineering rather than consulting. The systems described in the case studies on this site were built and led in previous engineering roles: an event-driven document platform with a rebuilt AI retrieval layer that scaled roughly thirtyfold in throughput; a monolith broken into services alongside a cloud data warehouse that took reporting off engineering's plate; observability and media delivery for a national network of more than eight thousand displays.

That's the common thread — systems where being wrong has consequences, running at a scale where the shortcuts stop working. Document pipelines that can't drop a document. APIs that other people's businesses run on. Fleets that can't be fixed by walking over to the machine.

Why one engineer

Small consultancies tend to grow by adding a layer between the client and the person writing the code. The account manager translates your problem into a ticket, and translates the answer back. Something is lost in both directions, and you pay for the translation.

Working directly means the person who hears your problem is the person who designs the solution and the person who maintains it afterward. It also means I take on fewer projects, and turn down work I can't execute well. Both of those are deliberate.

The practical consequence for you: no discovery phase spent re-explaining things, no scope drift caused by a misunderstanding three people deep, and no ambiguity about who is accountable.

How I think about the work

The simplest solution that solves the problem. Complexity is cheap to add and expensive to carry. Most businesses are better served by a boring system they understand than a sophisticated one they depend on someone else to operate.

AI when it earns its place. A large share of problems presented as AI problems are integration or reporting problems, and they're cheaper and more reliable to solve directly. When AI genuinely fits — unstructured input, real language understanding, real scale — it's transformative. Knowing which situation you're in is most of the value.

Built for maintenance, not for demos. I write code I expect to be maintaining in five years, because in most cases I will be. That constraint shapes everything: architecture, documentation, and what I'm willing to take on.

You own it. Code, infrastructure, accounts, domains — from the first commit. Maintainable code means you're never dependent on one person, and that includes me.

Where I work

I'm based on Long Island and work with businesses across Nassau and Suffolk County, as well as clients nationwide. Local clients can start with an in-person conversation, which is genuinely better for understanding a messy operational process. Everything after that works fine remotely.

Getting in touch

Every engagement starts with a free thirty-minute discovery call — a conversation about what you're trying to do and whether I'm the right person to help. No proposal, no pressure, and no follow-up sequence afterward.