Moaz Eldegwy
Software & AI Engineer
I design and build production-grade Generative AI systems powered by LLMs, fine-tuning, RAG, and multi-agent architectures. I focus on adapting open-weight models and optimizing them for efficient real-world deployment.
About me
I am an AI Engineer and a recent graduate in Information Technology and Computing (Artificial Intelligence). I don’t just build models; I design end-to-end AI systems that bridge the gap between research and production, turning ideas into deployable, real-world applications.
The Journey
My path has been deeply hands-on and engineering-driven. I started building and managing web systems early in my career, working across Linux servers, backend systems, and scalable web platforms. Over five years of freelancing, I delivered 65+ software projects, gaining strong experience in shipping production-grade systems used by real clients.
Current Focus
As my work evolved, I transitioned fully into Deep Learning and Generative AI. Today, my focus is applied LLM systems, with specialization in:
- Model Optimization: Fine-tuning (LoRA/QLoRA) and Quantization to make models leaner and faster.
- Architectural Design: Building robust Retrieval-Augmented Generation (RAG) and multi-agent systems.
- Edge AI: Enabling high-performance SLMs for deployment in resource-constrained environments.
Leadership
I also serve as the President and AI Lead of the Microsoft Student Club, where I lead a team of 50+ to bridge the gap between academic theory and industry-grade AI implementation. Whether it’s fine-tuning a model or leading a technical workshop, I am driven by the challenge of making “intelligent” systems truly useful.