From marketing sites that convert to AI workflows that save real hours — we engineer it right, explain it clearly, and stay accountable long after launch.
Examples drawn from systems built and led during previous engineering roles.
Event-driven document processing platform with a rebuilt AI retrieval pipeline, scaled from startup to enterprise ingestion volumes. Reduced operational bottlenecks and enabled faster access to critical business information.
Monolith migrated to microservices; cloud data warehouse built to replace recurring engineering requests with self-service reporting. Improved reporting reliability and reduced time spent waiting on analytics.
Observability and media delivery infrastructure rebuilt for a national-scale digital display network. Enabled nationwide operations with minimal downtime and centralized visibility.
Client names withheld by agreement.
Replace spreadsheets and manual workflows with purpose-built systems your team actually uses.
Automate document-heavy processes and repetitive intake work with reliable AI pipelines.
Portals, dashboards, and digital products built for real users and real business outcomes.
Systems that make business information usable — without routing every question through engineering.
Automate intake, follow-up, and customer communication so nothing gets missed.
Eliminate manual re-entry by connecting your systems and automating information flow.
Replace manual exports and spreadsheet work with dashboards that update automatically.
Integrate disconnected tools so data moves where it needs to go without manual handoffs.
Build portals, booking systems, and self-service tools that match how your business actually works.
Practical AI integration and automation — not a proof of concept, not a chatbot that frustrates your customers.
Websites, internal tools, and full-stack applications — engineered from the ground up and built to last.
Ongoing engineering partnership for businesses that need systems to keep working — and keep improving.
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TJ Soregaroli
Founder & Engineer
For the last 8+ years I've built production systems that businesses depend on — from AI document pipelines and cloud data platforms to infrastructure supporting thousands of connected devices.
I build AI that does real work: production-grade pipelines shipped to enterprise scale, not demos. Defcon Digital is how I work directly with businesses that need things built right.
We only take projects we can execute well
We recommend the simplest solution that solves the problem
We build for maintainability, not demos
We stay involved after launch
Every engagement starts with a conversation, not a proposal. We want to understand your business, your constraints, and what success actually looks like — before we scope anything. This call is free and carries no obligation.
After discovery we put together a clear scope document — what we're building, why we're building it that way, what's explicitly out of scope, timeline, and cost. If the scope changes, we tell you before we change course.
We build in defined phases with check-ins at each milestone. You see progress in real work, not status updates. Feedback is built into the process, not bolted on at the end.
You get documentation written for a human being, a walkthrough of what was built and why, and clarity on what it takes to maintain it. If Operational Support makes sense, we'll make that case clearly — and only if it actually does.