Ayoub H.

Compétences

• Azure5/5
• MLOps5/5
• Computer Vision5/5
• SQL5/5
• Python5/5
• Docker4/5
• Kubernetes4/5
• Power BI5/5
• Machine Learning5/5
• PyTorch5/5
• Databricks4/5
• MLflow4/5
• CI/CD5/5
• GitHub Actions5/5
• Deep Learning5/5
• NLP4/5
• LLM4/5
• TensorFlow4/5
• SQL Server4/5
• PL/SQL4/5
• LangChain5/5

Expériences

1. AI & Data Engineer

   June 2025 — Present

   • Alexsys Solutions • Designed and deployed 350+ AI-powered cameras on waste collection trucks, enabling real-time object detection and intelligent monitoring. • Developed and optimized Computer Vision models using YOLO, OpenCV, NVIDIA Jetson Orin NX, and TensorRT for efficient edge inference. • Worked on intelligent radar systems for real-time urban monitoring and detection. • Built a multi-agent Text-to-SQL assistant capable of answering complex natural language queries across a database of 236 tables, using LangGraph, Azure OpenAI, and RAG. • Integrated Vision Language Models (VLMs) to analyze detection alerts, improve contextual understanding, and reduce false posi tives. • Developed scalable data engineering pipelines using Azure Data Factory, Databricks, PySpark, and Azure Data Lake. • Implemented MLOps and deployment workflows using Docker, MLflow, and GitHub Actions to support reliable AI systems in production.

   • Azure
   • Docker
   • GitHub Actions
   • SQL
   • MLOps
   • Azure Data Factory
   • Databricks
   • MLflow
   • RAG
   • Computer Vision

2. ACADEMIC BACKGROUND

   2024 — 2026

   • ML/DL advanced, Computer Vision & VR, NLP, Generative AI, & Agentic AI, Reinforcement Learning • Big Data & Distributed Systems, Cloud Computing & DevOps, MLOps/DataOps, Data Engineering • Advanced Statistics, Python advanced, Optimization, Blockchain Security

   • Python
   • NLP
   • LLM
   • MLOps
   • Computer Vision

3. Bachelor of Excellence in Artificial Intelligence

   2023 — 2024

   • Machine Learning, Deep Learning, Data Mining, Image and Signal Processing • Data Analysis, Applied Mathematics, Advanced Statistics

   • Machine Learning
   • Deep Learning

4. DEUG (University Diploma) in Applied Mathematics and Computer Science

   2021 — 2023

   Mathematical Analysis, Algebra, Programming (Python, C, SQL)

   • Python
   • SQL

5. Automotive Wheel Recognition

   2025

   • CITIC DICASTAL Competition • Winning solution : 98% accuracy with CNN/Transfer Learning (TensorFlow, OpenCV) • Impact : Digitalization of automotive industry processes, deployable solution

   • TensorFlow
   • Computer Vision

6. Protein Classification

   2025

   • Bioinformatics Research • GNN with PyTorch Geometric for protein interaction prediction (+25% accuracy) • Complex network modeling and graph feature engineering with NetworkX

   • PyTorch

7. Time Series Forecasting & BI Analytics

   2024

   • Time Series Modeling & Business Intelligence • ARIMA/LSTM/Prophet forecasting with 15% error reduction, production deployment • Power BI Dashboards (SQL Server/Oracle) : +20% inventory forecast accuracy, cost reduction

   • SQL
   • Power BI
   • SQL Server
   • PL/SQL