About

Daniel Rosehill

Daniel Rosehill

I'm an AI developer and technical communications professional based in Jerusalem, Israel. I specialise in building AI agent systems, MCP integrations, workflow orchestration, and pipeline automation — with a focus on practical deployments for small businesses.

I work at the intersection of AI implementation and real business needs. That means understanding the technology deeply enough to build it, and understanding business processes well enough to deploy it where it actually matters.

My background in technical communications — working with companies across cybersecurity, cloud infrastructure, and enterprise technology — gives me an edge in understanding complex domains and translating between technical and business stakeholders.

Carrot Cake AI is the consultancy through which I offer hands-on AI implementation services. Every engagement is principal-led — when you work with Carrot Cake AI, you work directly with me.

Some of the clients I have worked with

Companies I've partnered with across AI, cybersecurity, cloud, and enterprise technology.

AI, Data & Developer Tools

Cybersecurity

Cloud & Infrastructure

Enterprise & Advisory

Nonprofit & Civil Society

Technology Stack

LLMs

Anthropic OpenAI Google Gemini OpenRouter Hugging Face

Frameworks

CrewAI LangChain LangGraph Claude Code MCP

Automation

n8n Make Zapier Webhooks REST APIs

Infrastructure

GCP AWS Docker Vercel Linux

Data

Python PostgreSQL Vector DBs Web Scraping ETL

Background & Expertise

AI & Automation

Building agentic AI systems, MCP server development, multi-agent orchestration, RAG pipelines, and workflow automation. Active open-source contributor on GitHub, NPM, and Hugging Face.

Technical Communications

Extensive experience writing for and about technology — cybersecurity, cloud, and enterprise sectors. Able to bridge the gap between technical depth and business clarity.

Sector Experience

Cybersecurity, cloud infrastructure, enterprise technology, OSINT, competitive intelligence. Experience working across these domains informs how AI solutions are scoped and built.