AI Engineer · Full Stack Developer · MLOps Enthusiast
Engineering intelligence. Scaling impact. Training the next wave.

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SYSTEM PROFILE

class AIEngineer:
    def __init__(self):
        self.name = "Yassine Ennaya"
        self.location = "Morocco 🇲🇦"
        self.education = "Ing. Intelligent Information Systems (SUPMTI)"
        self.role = ["AI Engineer", "Full Stack Developer", "AI Trainer"]
        self.specialty = "End-to-End AI Systems at Scale"

    def mission(self):
        return "Turn data into intelligence and deploy it to production"

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TECH STACK MATRIX

AI / ML CORE LLMs NLP Computer Vision LangChain YOLOv8 HuggingFace

MLOPS / CLOUD Airflow MLflow Spark CI/CD Monitoring

FULL STACK REST APIs Supabase MongoDB React Native

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Professional Experience

AI Trainer / AI Engineer | Simplon Maghreb

Aug 2025 — Present

• MLOps Implementation: Leading AI/ML projects from design to production using Azure, Airflow, and Docker.
• Project Leadership: Managing and guiding project trainers to ensure consistency in AI curriculum and deployment.
• Mentorship: Training engineers and graduates in Data Science and DevOps for Machine Learning.

Full Stack Developer | Freelance

Sep 2025 — Present

• Architecting scalable AI/Web applications using React, Python, and FastAPI.
• Delivering high-performance, production-ready full-stack solutions for global clients.

AI & NLP | DGTC - Rabat

Feb 2024 — Jul 2024

• Developed an Intelligent Project Classification System aligned with UN Sustainable Development Goals.
• Utilized LLMs, Word2Vec, and Scikit-Learn for advanced text analysis and processing.

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Technical Project Showcase

Artificial Intelligence & Deep Learning

LSM Darija - Sign Language Recognition

An end-to-end framework for Moroccan Sign Language (LSM) recognition.

• The Challenge: Recognizing temporal gestures in Moroccan Darija.
• The Solution: Built a PyTorch-based LSTM (Long Short-Term Memory) network. Used Mediapipe for high-resolution hand and body landmark extraction.
• Key Tech: PyTorch Mediapipe Python OpenCV

AI CV Analysis Web App

Intelligent recruitment tool for matching CVs with Job Descriptions.

• The Solution: Leveraged LangChain and Google Gemini API to perform semantic analysis and scoring.
• Key Tech: Next.js Django Gemini API LangChain

Facial Emotion Detection

Real-time recognition system for interactive environments.

• The Solution: Implemented YOLOv8 and CNNs for robust feature extraction and real-time facial classification.
• Key Tech: TensorFlow Keras YOLOv8 OpenCV

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Data Engineering & MLOps

Binance BTC Data Pipeline

Technical ETL Suite for High-Frequency Cryptocurrency Analytics.

• The Architecture: Implemented a Medallion Architecture (Bronze, Silver layers) for data lineage and quality.
• The Workflow: Used Apache Airflow (TaskFlow API) for orchestration and PySpark 3.5+ for advanced feature engineering.
• Infrastructure: Entirely containerized environment with custom Java/Spark integrations.
• Key Tech: Apache Airflow PySpark Docker PostgreSQL

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GitHub Analytics & Impact

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Let's Connect

• LinkedIn: yassine-ennaya
• Portfolio: yassine-portfolio
• Email: [email protected]

Combining AI expertise and full-stack development to deliver end-to-end intelligent systems.