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Building LLM-powered products
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Building LLM-powered products
  • Lagos, Nigeria

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fantastic-genius/README.md

Hi, I'm Hamzah Abdulfattah πŸ‘‹

AI Engineer with a full-stack foundation

I build LLM-powered, AI-native applications, Agentic System and RAG systems, and I wire AI into real products. I have a strong background in multi-modal AI, AI inference, and agentic AI orchestration. My foundation is full-stack engineering, and that is what I build AI on top of. I work at the intersection of AI and engineering.

  • 🧠 Focused on LLM Inference, LLM applications, RAG pipelines, Agentic AI and AI product features
  • 🌍 Based in Lagos, Nigeria
  • πŸ“ I write about production AI, cost, and governance on LinkedIn
  • πŸŽ“ Studying toward a Master's in Data Science
  • 🀝 Open to collaborating on AI engineering projects

Things I have built

  • An LLM-powered customer support agent
  • An AI design generation tool
  • RAG pipelines and AI features shipped inside products

What I work with

  • Languages: JavaScript, TypeScript, Python
  • Frontend: React, Next.js, Tailwind CSS, React Native
  • Backend: Node.js, Express, Python, FastAPI
  • AI / ML: LLM Inference, LLM application development, RAG, prompt engineering, AI feature integration, LLM Training/Fine Tuning, AI Agents
  • Data: PostgreSQL, MySQL, MongoDB, Pinecone
  • Others: vLLM, Unsloth, MicroServices

JavaScript TypeScript Python React Next.js TailwindCSS Node.js Express PostgreSQL MySQL MongoDB

Connect

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Pinned Loading

  1. inference-engine inference-engine Public

    Python

  2. model_training model_training Public

    Python

  3. ai-design-prototype ai-design-prototype Public

    TypeScript

  4. Flowise Flowise Public

    Forked from FlowiseAI/Flowise

    Drag & drop UI to build your customized LLM flow

    TypeScript