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.
- π€ Current Focus: Agentic LLM Orchestration, Vector Search optimization, and high-throughput data processing pipelines.
- π‘ Philosophy: Building modular, scalable, and self-improving automation workflows that handle complex business logic.
- π€ Collaboration: Actively looking to collaborate on Gen AI projects, agent frameworks, and open-source automation tooling.
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"]
}
};|
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.
π Live Demo Β |Β π» Code Repository |
An empathetic, context-aware conversational AI chatbot designed for mental health support and guidance, leveraging advanced information retrieval.
π Live Demo Β |Β π» Code Repository |
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: