Moaz Eldegwy

AI & ML Engineer

I build production-ready Generative AI systems. My work focuses on the intersection of open-weight models and agentic architectures and optimizing Small Language Models (SLMs) for efficient, real-world deployment.

About me

I am an AI Engineer and a recent dual-degree graduate in Computer Science and Artificial Intelligence. I don’t just build models; I solve complex problems by architecting end-to-end systems that bridge the gap between research and production.

The Journey

My path has been unconventional and deeply hands-on. I started in 2019 in digital marketing and SEO, which sparked a fascination with how systems work under the hood. By 2021, I was administering Linux servers and building scalable web platforms. Over five years of freelancing, I delivered 65+ custom web development and AI-integrated automation projects, learning how to ship software that actually works for users.

Current Focus

As my work progressed, I shifted my focus entirely to Deep Learning. Today, I work as a Researcher in applied Generative AI, specializing 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.