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Daniel Nwaneri profile picture

Daniel Nwaneri

Full-stack developer specializing in Cloudflare Workers, MCP (Model Context Protocol), and AI integration. Building production RAG systems with Workers AI and Vectorize at the edge.

Location Port Harcourt, Nigeria Joined Joined on  Personal website https://github.com/dannwaneri

Education

B.Sc. Geophysics, Federal University of Technology Owerri

Pronouns

He/Him

Work

Full-Stack Developer | Cloudflare Workers AI Specialist

I Built a Production RAG System for $5/month (Most Alternatives Cost $100-200+)
Cover image for I Built a Production RAG System for $5/month (Most Alternatives Cost $100-200+)

I Built a Production RAG System for $5/month (Most Alternatives Cost $100-200+)

15
Comments 3
7 min read

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I Almost Used LangGraph for Social Media Automation (Here's Why I Built an MCP Server Instead)
Cover image for I Almost Used LangGraph for Social Media Automation (Here's Why I Built an MCP Server Instead)

I Almost Used LangGraph for Social Media Automation (Here's Why I Built an MCP Server Instead)

1
Comments
9 min read
MCP Sampling on Cloudflare Workers: Making Tools Intelligent Without Managing LLMs
Cover image for MCP Sampling on Cloudflare Workers: Making Tools Intelligent Without Managing LLMs

MCP Sampling on Cloudflare Workers: Making Tools Intelligent Without Managing LLMs

5
Comments
7 min read
Building an MCP Server on Cloudflare Workers with Semantic Search
Cover image for Building an MCP Server on Cloudflare Workers with Semantic Search

Building an MCP Server on Cloudflare Workers with Semantic Search

4
Comments 2
9 min read
I Built an AI Chatbot Wrong (And What I Learned About Cloudflare's AI Search)
Cover image for I Built an AI Chatbot Wrong (And What I Learned About Cloudflare's AI Search)

I Built an AI Chatbot Wrong (And What I Learned About Cloudflare's AI Search)

19
Comments 3
6 min read
Building an AI-Powered FAQ System with Cloudflare Workers AI and Vectorize

Building an AI-Powered FAQ System with Cloudflare Workers AI and Vectorize

1
Comments
3 min read
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