Edgee Blog Author: Khaled Maâmra

Khaled is a research engineer interested in distributed algorithms and machine learning models.

He began working in academia after his PhD on distributed algorithms and moved to designing and serving R&D projects in the industry around Machine Learning models. He worked across different sectors ranging from Finance to Manufacturing.

Today at Edgee, he works on the intersection of distributed systems and AI.

February 19, 2026 Engineering

Achieving More With Less Using Token Compression

A first in a series overviewing token compression techniques, the way to evaluate them and the main challenges they face.

Khaled Maâmra
Research Engineer

September 2, 2025 Engineering

Optimizing AI Inference with Edge Computing

Discover how edge computing can speed up AI inference. Learn how offloading tokenization and RAG to the edge improves latency, reduces costs, and enhances user experience.

Khaled Maâmra
Research Engineer