IA ENGINEER

Meknes Morocco • [téléphone] • [e-mail]

[nom] · [nom] · [nom] · Microsoft_credentials

[nom]

Results-driven AI Engineer with a strong background in Machine Learning, Deep Learning, and Full-Stack development. Expert in architecting end-to-end intelligent systems, from RAG-based NLP pipelines to real-time Computer Vision applications. Proficient in the entire MLOps lifecycle, including model training with PyTorch/ TensorFlow and scalable deployment using Azure, Docker, and Kubernetes. Proven ability to bridge the gap between complex AI research and production-ready web solutions.

CORE SKILLS

Technical Stack: Python (Django REST, FastAPI, SQLAlchemy), PostgreSQL, Supabase,ChromaDB

AI & Machine Learning : Scikit-Learn, TensorFlow, PyTorch, Computer Vision,LangChain, Hugging Face, Ollama, NLP, LLMs,RAG

Cloud & MLOps: Azure (AZ-900),Terraform , Docker, Kubernetes ,CI/CD,uv package manager,Apache Airflow,Spark /

PySpark, MLflow,DVC,Evidently AI

OS & Tools : Linux (Ubuntu),VSCode, Git/GitHub ,Postman

Languages: French (Advanced), English (Intermediate)

PROFESSIONAL EXPERIENCE

AI Engineer & Tech Lead (AI Trainer) · Aug 2025- Present

Simplon Maghreb - Marrakech

Architected and deployed end-to-end Machine Learning pipelines using Azure, Airflow, Docker, and Kubernetes, ensuring high availability for AI services.

Led technical development of production AI projects, implementing MLOps best practices for versioning, CI/CD, and monitoring.

Technical Mentorship: Managed a team of project trainers to ensure quality and consistency in AI curriculum architecture and model deployment strategies.

API Optimization: Developed high-performance backend services using FastAPI to serve deep learning models with sub-second latency

AI & Software Engineering Intern · Feb 2024- Jul 2024

General Directorate of Territorial Collectivities - Rabat

Developed an NLP-based intelligent classification engine to categorize projects by SDGs using LLMs.

Automated large-scale text data processing using NLTK and custom Python scripts.

Deep Learning Intern · Jul 2022- Sept 2022

YAZAKI - Meknes

Engineered an intelligent security system using Facial Recognition and CNN architectures.

Managed end-to-end data pipelines for image collection and preprocessing using OpenCV and TensorFlow.

KEY PROJECTS

LSM Darija - Sign Language Recognition System (Freelence)

Developed a real-time framework using Mediapipe and LSTM networks for sign classification.

AI-Powered Talent Matcher

Engineered an automated matching platform using Next.js and Gemini API to analyze and rank technical profiles against job descriptions.

Facial Emotion Detection System

Built a real-time emotion recognition engine using YOLOv8 and TensorFlow, integrated into a responsive interface for live inference.

CERTIFICATIONS & EDUCATION

Microsoft Certified : Azure Fundamentals (AZ-900) · Avr 2026

Microsoft

Engineering Degree (Bac +5) in Intelligent Information Systems · Sep 2019 - Oct 2024

SUPMTI - MEKNES