# 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](/content/blog/categories/engineering/index.html)

### [Achieving More With Less Using Token Compression](/content/blog/posts/2026-02-19-achieving-more-with-less-using-token-compression/index.html)

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](/content/blog/categories/engineering/index.html)

### [Optimizing AI Inference with Edge Computing](/content/blog/posts/ai-at-the-edge/index.html)

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