I build AI solutions that turn complex business problems into practical products.
Combining machine learning, generative AI and software engineering to design useful, production-minded AI applications from Casablanca, Morocco.
Featured Projects
Core applied AI case studies built for production and business impact.
B2B Sales Meeting Assistant
An AI-powered platform that helps B2B sales teams prepare for client meetings with enriched company profiles, useful insights and business recommendations.
GenAI Staffing Assistant
A conversational assistant that helps managers structure staffing and recruitment requests and reduces back-and-forth with HR teams.
Multilingual Agentic RAG Framework
A modular Arabic/French framework for asking questions over structured and unstructured information using retrieval and AI agents.
What I Build
Full-stack applied artificial intelligence from data exploration to production deployment.
Generative AI & LLMs
Building production-ready LLM applications, custom tool-calling agents, and structured prompting workflows.
Agentic RAG
Multilingual Arabic/French retrieval pipelines, vector search, ETL orchestration, and grounded context evaluation.
Predictive Modeling & Analytics
B2C behavioral analysis, predictive modeling (migration & up-sell), feature engineering, model training, and inference pipelines.
Applied Engineering
FastAPI backends, cloud industrialization on GCP/Azure, Docker containerization, and robust CI/CD.
About Khalid
I am an AI Engineer and Data Scientist with an engineering background in Modeling and Computer Science from École Mohammadia d'Ingénieurs (EMI). At Artefact, I have contributed to applied AI projects spanning generative AI assistants, agentic RAG, machine-learning use cases and AI proof of concepts.
My work combines data and model understanding with the engineering needed to turn an experiment into a usable application: APIs, integrations, data workflows, evaluation and deployment. I am particularly interested in AI agents, retrieval-augmented generation, machine learning and practical AI systems that create measurable value.
Education & Academic Foundation
Engineering Degree in Modeling and Computer Science
École Mohammadia d'Ingénieurs (EMI) — Rabat, Morocco
DEUG in Math & Computer Science
Pluridisciplinary Faculty — Nador, Morocco
Baccalauréat in Mathematical Sciences
Lycée Abdelkrim El Khattabi — Nador, Morocco
Quick Facts
- AI Engineer & Data Scientist at Artefact
- DegreeEngineering Degree in Modeling & CS (EMI)
- LocationCasablanca, Morocco
- LanguagesArabic (Native), French & English (Professional)
Professional Experience
Applied AI Engineer
Artefact — Casablanca-Settat, Morocco (Hybrid)
Build and contribute to applied AI solutions for consulting and telecom use cases. Work includes a GenAI staffing assistant integrated with Google Workspace, a B2B sales meeting-preparation platform, machine-learning use cases for next-best-offer/action, and exploratory AI proof of concepts in image forensics and speaker recognition.
Applied AI Engineer Intern
Artefact — Casablanca, Morocco
Developed a multilingual Arabic/French agentic RAG framework for structured and unstructured data analysis, and built an insurance-domain conversational assistant as a demonstrator. The framework included ETL, document vectorization and indexing, retrieval modules, and AI agents for contextual response generation.
Project Cell Lead
EMICATRONIC — Rabat, Morocco
Directed multiple projects at Emicatronic, collaborating with team members on initiatives such as developing a drone, an autonomous car, a smart home, and more. Additionally, delivered courses and workshops, and participated in various competitions and hackathons where our team won several awards.
Data Analyst Intern
Ministry of Education (FRMSS-DPSS) — Rabat, Morocco
Analyzed and managed delegation data for 31 countries participating in the 2023 School World Football Championship in Rabat, supporting event planning and logistics. Also analyzed social-media performance and formulated data-driven recommendations to improve visibility and follower acquisition.
Additional Projects & PoCs
Exploratory machine learning, computer vision, and speech AI prototypes.
Next Best Offer / Next Best Action (NBOA)
B2C customer behavior analysis and development of two predictive models (Prepaid-to-Postpaid migration and Postpaid up-sell) to power commercial campaigns.
AI-Manipulated Image Detection — PoC
An experimental machine-learning approach to assess whether document images may have been manipulated using AI.
Speaker Similarity — Proof of Concept
A speech-AI proof of concept exploring speaker-embedding similarity to identify repeat callers in a telecom scenario.
Skills & Certifications
Programming & Data
Machine Learning & Data Science
Generative AI
Application Engineering
Data & Analytics Platforms
Cloud & DevOps
Certifications
Azure Data Scientist Associate
Claude Certified Developer Foundations
AWS Cloud Quest: Cloud Practitioner
Dataiku Core Designer
Get in Touch
Interested in collaborating or discussing applied AI opportunities? Let's connect.