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AI Engineer with 2+ years in Machine Learning, Big Data & Cloud DevOps
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Highly skilled AI & Data Engineer with 2.2 years of progressive experience, specializing in Data Engineering, Machine Learning, and DevOps within the Big Data ecosystem. Proven track record in implementing data pipelines, developing MLOps solutions, building AI models for risk management and 3D object captioning, and securing IoT devices using blockchain-based federated learning. Proficient in a wide array of tools and technologies including Python, Hadoop, Spark, Kafka, Airflow, and various LLMs, contributing to enhanced data quality, real-time decision-making, and automated processes.
MOHAMED V UNIVERSITY
Master's degree · Intelligent Systems Processing (Artificial Intelligence and Data Sciences option)
August 1, 2023 – June 30, 2025
MOHAMED V UNIVERSITY
Bachelor's degree · Big data and Artificial Intelligence
August 1, 2022 – June 30, 2023
HIGHER SCHOOL OF TECHNOLOGY, SIDI MOHAMED BEN ABDELLAH UNIVERSITY
Higher Diploma of Technology (DUT) · Computer science (Database Administration option)
August 1, 2020 – June 30, 2022
Eurafric Information BMCE Group
AI & Data Engineer (Full Time)
November 1, 2025 – Present
Casablanca, Casablanca-Settat, Morocco
Eurafric Information BMCE Group
AI & Data Engineer Intern
February 1, 2025 – October 1, 2025
Casablanca, Casablanca-Settat, Morocco
3D Smart Factory
AI Engineer Intern
July 1, 2024 – September 1, 2024
Mohammedia, Casablanca-Settat, Morocco
General Direction of Meteorology
AI & Security Engineer Intern
April 1, 2023 – June 1, 2023
Casablanca, Casablanca-Settat, Morocco
Competence Center
Software Developer intern
April 1, 2022 – June 1, 2022
Fes, Fès-Meknès, Morocco
MOULLABLAD
Software Developer intern
July 1, 2021 – August 1, 2021
Rabat, Morocco
Multi-Agent Legal Assistant
September 1, 2025 – November 1, 2025
• Developed a multi-agent system for legal document analysis and negotiation, integrating WhatsApp Business API for contract upload and real-time processing. • Tools: Python · Agentic AI · FastAPI · Streamlit · WhatsApp Business API · OpenAI · Mistral · LLM · Docker.
ELT Pipeline with dbt, Snowflake, and Apache Airflow
March 1, 2025 – May 1, 2025
• Built a scalable ELT pipeline using Snowflake's TPCH dataset. Loaded raw data into Snowflake, applied modular transformations using dbt, and orchestrated the entire workflow with Apache Airflow for automation and monitoring. • Tools: dbt · Snowflake · Apache Airflow · SQL · Data Warehousing · ELT · Workflow Orchestration
Real-time Drug Information Retrieval using AI and Big Data
April 1, 2024 – May 1, 2024
• Developed a real-time drug information retrieval system using LLMs and Big Data technologies, integrating Kafka, MongoDB, PySpark, and RAG to enhance drug information accuracy for improved healthcare decision-making. • Tools: Python · AIRFLOW · Kafka · MongoDB · PySpark · FAISS · LLM · T5 · GEMINI · LLAMA-2 · RAG · LangChain · Prompt Engineering
RAG Chatbot for Social Media Apps
February 1, 2024 – April 1, 2024
• Created a Discord chatbot that processes and indexes PDF content for direct querying, allowing users to retrieve specific information–like skills or experience–from uploaded PDFs using semantic search. • Tools: Python, RAG, Discord API, OpenAI, Prompt Engineering
Data Engineering and Machine Learning using Spark
IBM
June 1, 2026 – Present
Deep Learning with TensorFlow 2
365 Data Science
June 1, 2026 – Present
AWS Educate Introduction to Cloud 101
AWS Educate
June 1, 2026 – Present
Apply Generative Adversarial Networks
DeepLearning.AI
June 1, 2026 – Present
Blockchain Security
Infosec
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Big Data and AI, coupled with a Master's degree in Intelligent Systems Processing, aligns well with an AI Engineer role. The personal projects demonstrate initiative and a passion for applying AI in various domains. The experience across different types of internships (AI, Data, Security, Software Development) shows a broad interest and willingness to explore diverse technical areas, which can be beneficial for a dynamic team environment. The certifications further indicate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to learning and applying new technologies. The diverse range of projects, from legal assistants to drug information retrieval and 3D object captioning, indicates adaptability and a problem-solving mindset. The involvement in MLOps and CI/CD suggests an understanding of operational best practices in AI/Data engineering.