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CiaraMaria

  • senior product engineer
  • technical leader
  • ai systems builder

Colorado, USA

I build complex digital products and the systems that help teams ship them.

afk in the garden ✦ humans stay in the loop ✦ last seen: arguing with a type error ✦ coffee count: classified ✦ afk in the garden ✦ humans stay in the loop ✦ last seen: arguing with a type error ✦ coffee count: classified ✦

6 years
building digital products
Across
startups, production platforms, web3, AI systems, developer enablement, and consumer apps
2 weeks
design to production on select AI harness-built projects
End-to-end
from messy brief to something people can actually use
about me

The short version.

I’m a senior product engineer, technical leader, and Certified ScrumMaster who likes turning complicated, half-formed ideas into products that feel clear, thoughtful, and genuinely useful. I’ve built across various industries, often in environments where the requirements are changing and the path forward has to be discovered while the work is already underway.

I view engineering as a skill to steward.

internet since:
myspace era
currently learning:
swift
probably thinking about:
another coffee
creative outlet:
crochet, gardening, content creation for my dog's insta
more about me
capabilities

Where I add the most leverage.

01

Product Engineering

Taking products from ambiguous requirements through architecture, implementation, QA, deployment, and iteration.

02

Frontend Architecture

Building scalable TypeScript applications, complex workflows, reusable component systems, responsive interfaces, and maintainable frontend foundations.

03

AI-Native Delivery

Designing agent harnesses, shared repository knowledge, reusable skills, review gates, verification workflows, and productive human-agent collaboration.

04

Technical Enablement

Helping engineers, clients, and nontechnical teams understand systems, make better decisions, and become more independently capable.

// ai systems

Structure is what turns speed into something you can trust.

  • Start with the real user problem.
  • Understand the system before changing it.
  • Reduce ambiguity through research and planning.
  • Ship working software iteratively.
  • Design for maintainability and handoff.
  • Use AI to increase capacity without lowering standards.
  • Treat documentation as part of the product.
workflow
  1. 1
    Research
  2. 2
    Plan
  3. 3
    Implement
  4. 4
    Verify
see the governed, AI-native version of this workflow
tools I keep around
  • TypeScript
  • React
  • Next.js
  • Node
  • Tailwind
  • SQL
  • Playwright
  • Zod
  • Claude
  • Codex
  • Cursor
  • Linear
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