Specialized in Generative AI (LLMs), RAG, and Agentic AI. Expert in designing, validating, and deploying production ML systems with scalable Data/Cloud architectures on Azure/AWS.
AI Engineer & Data Scientist specialized in Generative AI (LLMs), RAG, and Agentic AI. Proven track record in designing evaluation protocols, analyzing model robustness, and implementing scalable Data/Cloud architectures on Azure/AWS.
Skilled in collaborating with cross-functional teams to integrate AI functionalities into enterprise environments. With a PhD in Data Science & AI and Master's in Data Science & Engineering, I combine academic excellence with practical expertise.
Passionate about leveraging AI to solve complex problems and drive innovation across industries.
PhD in Data Science & AI
Master's in Data Science & Engineering
Azure Developer Associate
AWS Certified Cloud Practitioner
Azure Data Fundamentals
Python, LLMs, RAG, Azure, AWS
Generative AI, MLOps, Data Engineering
Oct 2023 - Present
CGI Technologies and Solutions, Rabat, Morocco
Developing AI solutions including Multi-Agent Systems, RAG chatbots, and GraphRAG. Leading MLOps initiatives and cloud migrations on Azure/AWS.
Feb 2023 - Dec 2024
CGI Technologies and Solutions, Rabat, Morocco
Architected and maintained cloud-native data platforms on Azure and AWS, built scalable ETL/ELT pipelines and orchestrations, optimized cost and performance, and implemented CI/CD for data workflows and infrastructure as code.
Apr 2022 - Jan 2023
DataStory, Casablanca, Morocco
Built Python backend services for Power BI integration, automated data quality checks, and developed dashboards for executive decision-making.
Sep 2022 - Apr 2023
Upwork, Remote
Delivered customer churn prediction models and deployed APIs with FastAPI. Designed protocols for model performance measurement.
Jan 2022 - Aug 2022
Upwork, Remote
Conducted data cleaning, exploratory analysis, and automated reporting scripts using Python and SQL.
Jul 2021 - Sep 2021
General Directorate of Taxes, Agadir, Morocco
Developed a full-stack inventory management system using Python (Django) and PostgreSQL.
Published in Springer Nature, 2025
DOI: 10.1007/978-3-032-01967-7_35
Springer Link: View on Springer
Developed a Multi-Agent System using LangChain and Chroma DB, implementing testing protocols to ensure agent consistency and reduce hallucinations.
Engineered a RAG chatbot for ITSM data using pgvector, focusing on search relevancy optimization and knowledge base quality analysis for client support.
Prototyped a GraphRAG solution using Neo4j to improve context retrieval accuracy for complex documents and enterprise knowledge bases.
Architected an AWS-based ETL system using Lambda and Step Functions, processing 50K+ records/day with 99% accuracy and automated error recovery.
Delivered customer churn prediction models achieving 85% accuracy, including data analysis, model development, and API deployment with FastAPI.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.