Founding-Level AI Full-Stack Engineer | RAG Systems • MCP • Startup Infrastructure

📍 Zanzibar, Tanzania 🔗 LinkedIn: https://www.linkedin.com/in/ateeq-ali-5b5b71144/
💻 GitHub: https://github.com/ateeq1999/
📧 ateeg.dev@email.com

I’m a founding-level AI Full-Stack Engineer with 6+ years of experience building and shipping production-grade systems in startup and fast-moving environments.

I specialize in taking products from idea → MVP → production, with deep hands-on ownership across AI systems, backend architecture, frontend delivery, and developer tooling. Most of my work focuses on end-to-end RAG pipelines, AI agents, and MCP (Model Context Protocol) tooling—where AI is core infrastructure, not a surface feature.

I’m most effective in early-stage teams that value speed, ownership, and technical clarity.

• 🤖 End-to-End RAG Pipeline Systems (ingestion → embeddings → retrieval → generation)
• 🧠 Vector Embeddings & Semantic Search
• 🧩 MCP (Model Context Protocol) Servers & AI Agents
• 🛠️ AI Tooling & Developer Platforms
• ⚡ High-Performance Backends (Bun.js, Node.js)
• 🎨 Modern Frontends (React, Tailwind, component-driven UI)
• 🚀 Startup MVPs → Scalable Production Systems

• JavaScript, TypeScript
• PHP, Python, Golang, Dart

• Node.js, Bun.js
• AdonisJS, ExpressJS, Laravel, ElysiaJS
• REST APIs, WebSockets, Real-time & Background Processing

• React.js, Vue.js, Next.js
• TanStack Start, React Router
• Tailwind CSS, shadcn/ui

• RAG Pipeline Systems (end-to-end)
• Vector Database Architecture & Embeddings
• LLM Integration (Claude, OpenAI)
• MCP Servers & Clients
• AI Tooling & Agent Systems
• LangChain, EmbedJS, Crewai
• Ollama (Local LLMs)
• Claude Code, Antigravity
• Vercel AI SDK

• AWS, GCP
• Docker, Linux, Git
• CI/CD & Automation

Founder & Lead Engineer

• Built an AI-powered tourism platform from scratch
• Took the product from concept to production as primary engineer
• Designed scalable backend architecture with real-time systems
• Implemented end-to-end RAG pipelines for semantic discovery and personalization
• Built MCP-based AI tooling enabling agents to execute real platform actions
• Integrated LLM workflows directly into core user journeys
• Led product, engineering, and delivery in a startup environment

• Production-grade RAG architectures
• MCP-first AI tooling platforms
• Developer-facing AI infrastructure

• ✅ Founder-level ownership mindset
• ✅ Comfortable with async & distributed teams
• ✅ Experience shipping MVPs fast and scaling responsibly

I enjoy building AI systems that ship fast, scale cleanly, and create real-world impact.