mohammed Chakib Belgaid, Ph.D
Lille, Hauts-de-France
Summary
👤
SeniorChakib 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
Github Skills (20)
energy10
consumption9
python9
energy-monitor9
bash8
monitor7
vscode5
vscode-extension5
jupyter3
driver3
machine-learning3
docker2
golang2
meter2
jekyll2
Programming languages (8)
Github contributions (5)
chakib-belgaid/hwpc-sensor
May 2023 - Jun 2024
Hardware Performance Counters monitoring agent for containers.
Contributions:8 PRs, 92 pushes, 3 branches in 1 year 1 month
powerapi-ng/joulehunter
Oct 2021 - Nov 2022
Joulehunter helps you find what part of your code is consuming considerable amounts of energy.
Contributions:9 releases, 38 commits, 1 PR in 1 year 1 month
amountsenergy
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.