Ziad Waleed

Software Engineer specializing in AI and backend development, with hands-on experience building and deploying production-grade LLM applications, agentic AI systems, and cloud-native services. Experienced in designing scalable backend architectures with Python, FastAPI, NestJS, Redis, PostgreSQL, and modern DevOps practices.

Currently developing AI-powered products at Nabeh Tech, where I've optimized production LLM pipelines, built semantic search and recommendation systems, and engineered scalable backend services for applications serving thousands of users. As the team lead for my graduation project, I designed and built a real-time voice AI customer service agent using LangGraph, RAG, WebRTC, and GPU-hosted LLM inference, deployed with Docker, AWS, and CI/CD pipelines.

Passionate about building intelligent systems that combine LLMs, retrieval, and distributed backend engineering to solve real-world problems at scale.