- mood:
- building
- last login:
- today
- status:
- available for work
CiaraMaria
- senior product engineer
- technical leader
- ai systems builder
Colorado, USA
I build complex digital products and the systems that help teams ship them.
Turning ambiguous ideas and operational workflows into intuitive, production-ready software. Frontend architecture, product design, full-stack implementation, AI-native development systems, and cross-functional technical leadership.
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 ✦
A product engineer's approach.
I’m CiaraMaria, 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 health, commercial aviation, ecommerce, food retail, and Web3, often in environments where the requirements are changing and the path forward has to be discovered while the work is already underway.
I'm especially drawn to meaningful and mission-driven work.
- internet since:
- myspace era
- currently learning:
- Swift
- probably thinking about:
- can I have another coffee?
- creative outlet:
- crochet/gardening
Selected work.
Compact view of the work.
The AI harness has a full case study; the others open the live product.
Where I add the most leverage.
Product Engineering
Taking products from ambiguous requirements through architecture, implementation, QA, deployment, and iteration.
Frontend Architecture
Building scalable React and Next.js applications, complex workflows, reusable component systems, responsive interfaces, and maintainable frontend foundations.
AI-Native Delivery
Designing agent harnesses, shared repository knowledge, reusable skills, review gates, verification workflows, and productive human-agent collaboration.
Technical Enablement
Helping engineers, clients, and nontechnical teams understand systems, make better decisions, and become more independently capable.
Structure is what turns speed into something you can trust.
Every project, with or without AI in the loop, runs through the same discipline: research the real system, plan before building, implement against that plan, and verify before it ships.
- 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.
- 1Research
- 2Plan
- 3Implement
- 4Verify