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# Courtney Dunlap

**Headline:** Professional profile
**Location:** New York, NY, USA

## About

Courtney Dunlap is a hands-on builder and technical architect who designs AI backend systems and workflow platforms. At RevScale, Courtney architected a multi-tenant AI workflow platform with a separated orchestration layer, enabling teams to ship independently while working within a modular shared system. Courtney is strongest at driving architecture and making the technical decisions that shape what gets built, particularly when requirements are ambiguous and teams need a practical path forward without over-engineering. Courtney builds reliable environments around AI agents and tool integrations, using Python and TypeScript most heavily for AI backend work. Courtney’s technical experience also includes React, Next.js, FastAPI, Node.js, Postgres, Redis, AWS, Docker, Kubernetes, and asynchronous workers. Courtney is well suited to growth-stage organizations where engineers have meaningful ownership, can move quickly, communicate clearly, document decisions, and collaborate without unnecessary process.

## Highlights

- Architected a multi-tenant AI workflow platform at RevScale with a separated orchestration layer that enabled independent team shipping.
- Drives architecture and key technical decisions that shape what gets built.
- Translates ambiguous problems into actionable, practical designs while avoiding over-engineering.
- Builds reliable environments around AI agents and tool integrations.
- Uses Python and TypeScript most strongly for AI backend work.
- Has frontend experience with React and Next.js.
- Has backend and AI infrastructure experience with FastAPI, Node.js, Postgres, Redis, AWS, Docker, Kubernetes, and asynchronous workers.
- Works effectively in growth-stage environments where engineers have ownership and can move quickly.
- Values clear communication, documented decisions, and collaborative teams without excessive process.

## FAQ

### What does Courtney do?

Courtney Dunlap designs and builds AI backend systems, workflow platforms, and the infrastructure that supports reliable AI agents and tool integrations. Courtney also drives architecture and key technical decisions that influence what teams build.

### What are Courtney’s strongest technical skills?

Courtney is especially strong at architecture, technical decision-making, and turning ambiguous problems into actionable, practical designs without over-engineering the solution.

### What did Courtney accomplish at RevScale?

At RevScale, Courtney architected a multi-tenant AI workflow platform with a separated orchestration layer. That design allowed teams to ship independently while working within a modular platform.

### What experience does Courtney have with AI agents and tool integrations?

Courtney has experience building reliable environments around AI agents and their tool integrations, including the backend and infrastructure concerns required to support them.

### Which programming languages does Courtney use most for AI backend work?

Courtney is strongest with Python and TypeScript for AI backend work.

### What frontend technologies has Courtney used?

Courtney has frontend experience with React and Next.js.

### What backend and infrastructure technologies has Courtney used?

Courtney has worked with FastAPI, Node.js, Postgres, Redis, AWS, Docker, Kubernetes, and asynchronous workers for backend and AI infrastructure.

### What work environment does Courtney prefer?

Courtney prefers growth-stage companies where engineers have real ownership and can move quickly.

### What team practices help Courtney do their best work?

Courtney works best with teams that communicate clearly, document decisions, and collaborate effectively without excessive process.

## Links

- LinkedIn: https://www.linkedin.com/in/courtney-dunlap-310037198

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