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Abdullahameed/README.md

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πŸš€ Professional Summary

I am a Computer Science Graduate and AI/ML & Automation Engineer focused on building intelligent system architectures, production-ready Retrieval-Augmented Generation (RAG) pipelines, and autonomous agent workflows. I specialize in bridging the gap between cutting-edge LLM capabilities and practical, high-impact enterprise automations.

  • πŸ€– Current Focus: Agentic LLM Orchestration, Vector Search optimization, and high-throughput data processing pipelines.
  • πŸ’‘ Philosophy: Building modular, scalable, and self-improving automation workflows that handle complex business logic.
  • 🀝 Collaboration: Actively looking to collaborate on Gen AI projects, agent frameworks, and open-source automation tooling.

πŸ§‘β€πŸ’» Technical Profile

const abdullahHameed = {
  education: "B.S. in Computer Science",
  coreExpertise: [
    "Generative AI & LLMs",
    "Agentic Workflows & Multi-Agent Systems",
    "Retrieval-Augmented Generation (RAG)",
    "Backend API Engineering",
    "Cloud Native Integrations"
  ],
  currentStack: {
    languages: ["Python", "SQL", "TypeScript", "JavaScript"],
    aiFrameworks: ["LangChain", "LlamaIndex", "OpenAI API", "Hugging Face"],
    databases: ["PostgreSQL", "Pinecone", "ChromaDB", "MongoDB", "MySQL"],
    backend: ["FastAPI", "Flask", "Node.js"],
    frontend: ["Next.js", "React", "HTML5/CSS3"],
    devopsCloud: ["AWS (S3, Rekognition, EC2)", "Docker", "Git/GitHub Actions"]
  }
};

πŸš€ Featured Showcase

πŸ“Έ Event Photo Face-Matching

A high-performance serverless face-matching web application designed for event photography. Attendees upload a single selfie to instantly locate and download all photos of themselves from the event gallery.

  • Architecture: Next.js + FastAPI decoupled structure
  • Face Matching: Powered by AWS Rekognition Face Indexing & S3
  • Data Store: Fast indexing and lookup for rapid processing

🌐 Live Demo Β |Β  πŸ’» Code Repository

🧠 MindCare AI Companion

An empathetic, context-aware conversational AI chatbot designed for mental health support and guidance, leveraging advanced information retrieval.

  • AI Layer: Retrieval-Augmented Generation (RAG) pipeline
  • Orchestration: LangChain for stateful conversation management
  • Safety Guardrails: Prompt engineering & content filtering standards

🌐 Live Demo Β |Β  πŸ’» Code Repository


πŸ› οΈ Tech Stack & Tooling

Core Technologies

My Skills


AI & Agent Specializations


πŸ“Š Developer Metrics


πŸ† Achievement Showcase

πŸ“ˆ Daily Contributions


πŸ”— Let's Connect

If you're looking to integrate AI agents, optimize information retrieval with RAG pipelines, or build end-to-end automations, let's get in touch:


Designed with ❀️ and code | Abdullah Hameed © 2026

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