Profile

Aga Kadela

AI Product Engineer · Los Angeles, CA

Aga Kadela is an AI Product Engineer in Los Angeles who builds and fixes AI products where mistakes have a real cost.

The most expensive product mistakes usually do not throw errors. They stay quiet until revenue is wrong, permissions leak, or a workflow that looked fine at first meets real usage.

I learned that on checkout systems where a bad deploy meant money stopped moving. That production lens now carries across SaaS, backend workflows, launch hardening, and AI features that need to stay useful when the product gets real.

I work with a small number of clients at a time, usually founders , tech founders, and operators who need judgment as much as implementation.

1.5 years on checkout systems with real revenue exposure.
Production context from one of Europe's largest e-commerce platforms.
Over a million users and thousands of daily transactions.
A small client roster so the work stays sharp and hands-on.
What I Do

Before You Build

Get the product shape right before the code locks in the wrong assumptions: data, auth, payments, AI usage, and the first version that actually needs to ship.

View service

Launch Readiness Sprint

Built it fast. Now make sure it can handle real users, payments, private data, AI costs, and the first launch that actually matters.

View service

Production Rescue

Something broke and it is hitting users, money, or the workflow the business runs on. I find the fault, fix what matters first, and explain what happened in plain English.

View service

Custom AI Build

You know the outcome you need. I build the system behind it - backend, data, payments, schedules, AI workflows, and the boring production parts that have to keep working.

View service
Proof

FunnelScout

Multi-tenant SaaS with scheduled AI, tenant isolation, usage tracking, and spend controls.

Dotty

Launch-readiness audit and shipped fixes for payments, secrets, dates, and production risk.

Homepage portfolio

Short overview of the work mix: SaaS, launch hardening, and agent systems.

Contact

If the product is live, expensive, or about to matter, send what it is doing now, where it breaks, and what has to stay true in production.

[email protected]