Paradigm Coding Solutions
AI, ML, and data science engineering for teams that have to ship it.
Agent architecture, ML systems that hold up under real traffic, and the safety thread that keeps both honest. One studio, one operator, a research lab attached, and a track record of getting models into production instead of into demos.
What we do
-
Build with AI, not around it.
Agent fleets and contract-first task decomposition, the pattern behind our own agent-driven delivery system. Used in anger, not in slide decks.
-
ML systems that earn their keep.
RAG, model serving, eval coverage, cost ceilings. The unsexy half of every model that survives contact with real traffic.
-
Safety as engineering, not slides.
Audit trails on every model call, kill switches that work the first time, deferral to humans on decisions that should never be automated. The research thread carried into the engagement.
A one-person practice with an R&D lab attached. We ship for clients and we write the tools we use. Four complete products are live and open to click through on the work page.
Who runs it
Drew Mattick, Primary Developer.
Working toward a PhD in computer science while pursuing a senior ML and AI engineering track, focused on the ethics of electronic intelligences. Holds a US provisional patent on autonomous mobile perception for building management (USPTO #64/050,120).
Want to talk about something specific?
Tell us what done looks like, and we'll tell you whether we're the right fit.