Summary
Chakib Belgaid is an AI engineer and PhD researcher based in Lille with 11 years of experience blending software engineering, research, and product building. He has led AI teams in startups to design and deploy multimodal autonomous-agent MVPs, optimizing inference stacks with vLLM, CUDA and Llama.cpp for local GPU performance. His academic work at Inria centers on measuring and reducing energy consumption of data centers and programming languages, giving him rare expertise in sustainable, energy-aware software design. Chakib pairs hands-on systems skills (Python, CUDA, SQL) with product instincts from founding a retail tech startup and teaching distributed computing. He is known as a “green coder” who measures carbon footprints and tunes software for efficiency as much as accuracy. This combination of research-grade measurement and production-level AI deployment makes him particularly strong at shipping performant, low-carbon ML solutions.
11 years of coding experience
7 years of employment as a software developer
Design to Practice., Design to Practice., Design to Practice., Design to Practice. at SCiSEF Berlin, summer school
Training about startup creation and managements., Training about startup creation and managements. at MIT business summer school, Algiers
PHD, Energy consumption of programming languages., PHD, Energy consumption of programming languages. at University of Lille, Lille PHD
business summer school, Entrepreneurship/Entrepreneurial Studies, business summer school, Entrepreneurship/Entrepreneurial Studies at Massachusetts Institute of Technology
Computer sciences and engineering., Computer sciences and engineering. at ESI (higher school of computer science), Algiers
English, French, Arabic