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AI Engineer with less than a year in Data Engineering and Multi-Agent Systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with a strong academic background in Intelligent Communication Systems and Data Science. Proven ability to design and implement complex data pipelines, develop ML workflows for fraud detection, and create autonomous AI agents. Eager to leverage expertise in Python, Scala, and cloud platforms to build innovative AI-powered solutions.
EURECOM
Master of Science · Intelligent Communication Systems
August 1, 2023 – June 30, 2025
ESPRIT
Engineering Degree · Computer Science - Data Science Specialization
August 1, 2021 – June 30, 2023
Universite Centrale Privee
Bachelor of Science · Computer Science
August 1, 2018 – June 30, 2021
Amadeus
Data Engineering Intern
March 1, 2025 – September 1, 2025
Nice, Provence-Alpes-Côte d'Azur, France
3S Globelnet
Data Engineering Intern
June 1, 2023 – August 1, 2023
Ariana, Ariana, Tunisia
AI Agents Playground - Multi-Agent Systems
January 1, 2026 – June 1, 2026
Designed and developed 5 autonomous AI agents covering fundamental agentic patterns: tool use, function calling, RAG, conversational memory, and multi-step orchestration pipelines. Built a multi-agent personal assistant integrating external APIs, memory, and tool orchestration. Developed a Research Assistant with an autonomous multi-step pipeline and Streamlit UI.
Intelligent FAQ Chatbot – RAG Pipeline
January 1, 2026 – June 1, 2026
Designed a conversational assistant using a RAG pipeline (extraction, chunking, vectorisation, semantic search with ChromaDB) based exclusively on official product documentation. Integrated OpenAI GPT via LangChain to generate contextually accurate, traceable responses, demonstrating end-to-end functional design and validation of an AI-powered solution.
Cultural Fit Analysis
The candidate's project diversity, ranging from multi-agent systems to RAG chatbots, shows a proactive and innovative mindset. The blend of academic pursuits and practical internships, including a future internship at Amadeus, suggests a strong drive for continuous learning and professional development. The skills listed (Agile/Scrum, Functional Analysis) indicate familiarity with common development methodologies, contributing to a good operational fit.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate business requirements into technical solutions and work within agile sprints, indicating good communication and collaboration skills. Experience in optimizing pipeline performance suggests a detail-oriented and problem-solving approach. The project descriptions are clear and concise, reflecting good written communication.