Description

Experienced Software Engineer and Ph.D. researcher specializing in LLM Agents, RAG systems, and energy-efficient computing. I bridge the gap between cutting-edge AI research and production-ready software. Currently focused on helping businesses deploy custom AI agents and optimizing software infrastructure to reduce operational costs and energy consumption.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Marseille (up to 50km), Aix-en-Provence (up to 50km), Nice (up to 50km), Cannes (up to 50km)

MCQ-Scan.com
Lead AI Engineer
DIGITAL AND IT
November 2024 - Today (1 year and 7 months)
Lille, France
● Architecture: Architecting high-performance AI agents and optimizing LLM inference for commercial applications.
● Performance Optimization: Reduced agent inference latency by 60% and significantly decreased the memory footprint.
● Model Fine-tuning: Fine-tuned a 7B parameter model to achieve 95% task accuracy, facilitating a transition away from expensive proprietary APIs.
● Reliability: Engineered a constrained decoding pipeline that ensured 100% structured output validity, eliminating downstream parsing errors.
● Multimodal Integration: Integrated a custom RAG system (utilizing a proprietary image neural network) to enhance the capabilities of an e-commerce clothing store chatbot.
artificial intelligence RAG Python Back-End development
Qarnot Computing / INRIA
Software Engineer
DIGITAL AND IT
October 2022 - November 2024 (2 years and 1 month)
Lille, France
● Footprint Reduction: Reduced software binary size by 300x (from GBs to MBs), cutting container deployment times by 85%.
● Infrastructure Deployment: Deployed PowerAPI across 100+ distinct computing nodes to collect and analyze over 1 million data points regarding software energy efficiency.
● Impact: Enabled clients to identify energy leaks, resulting in an estimated 20% average reduction in cloud operational costs for pilot users.
greenIT Back-End development C++ Python performance optimization
Spirals Team, INRIA
Research Engineer (Green Computing)
RESEARCH
February 2018 - October 2022 (4 years and 8 months)
Lille, France
● Tool Adoption: Led the development of pyJoules (92,000+ PyPI downloads) and JouleHunter (3,500+ downloads), both of which are now staple tools in the Green AI research community.
● Efficiency Gains: Achieved up to a 30% reduction in energy usage for Python and Java applications without code alterations, saving approximately 150 kWh per year in benchmarked test clusters.
● Large-Scale Benchmarking: Managed a massive project covering 40+ programming languages and 780+ framework stacks; generated a dataset used by 50+ international research labs to evaluate language efficiency.
Python greenIT programming languages software optimization Data analysis

Check out Chakib's experience

Be the first to recommend Chakib

Help this freelancer shine by sharing your experience working together.

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

Baptiste Duhen

Fullstack developer

4.6

(4)

Amed Hamou

Senior Lead Developer

(2)

Audrey Champion

Web developer

4.3

(3)

Signup to reveal

Ph.D.
University of Lille
2022
Ph.D.
Engineering & M.Sc. in Computer Science
Ecole Nationale Supérieure d'Informatique (ESI)
2017
Engineering & M.Sc. in Computer Science

Chakib B.

AI Engineer - LLM | RAG | AGENTS

About Chakib

Experience

Recommendations

These freelancer profiles also match your criteria

Education

Skill set

Categories