
AI Engineer with 1+ years in Machine Learning & Generative AI
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Assessing your cultural and operational fit
AI Engineer with hands-on experience building ML systems from development to production. Developed predictive models, computer vision applications, generative AI solutions, and AI agents deployed on cloud platforms. Proficient in Python, experienced with containerized deployment and MLOps workflows. Available immediately for AI Engineer roles in France and Europe.
EURECOM
Master's · Data Science
September 1, 2024 – March 1, 2026
Sup'Com
Degree · Telecommunications Engineering
September 1, 2022 – June 1, 2025
Preparatory Institute for Engineering Studies
Pre-Engineering Studies
September 1, 2020 – June 1, 2022
BubbleRAN
AI Engineer
September 1, 2025 – March 1, 2026
Biot, Provence-Alpes-Côte d'Azur, France
EURECOM
Generative AI Engineer
June 1, 2025 – August 1, 2025
Antibes, Provence-Alpes-Côte d'Azur, France
Groupe SFM
Data Scientist
October 1, 2023 – March 1, 2024
Tunis, Tunis, Tunisia
Innodeep
Data Scientist
June 1, 2023 – September 1, 2023
Monaco, Monaco
Multi-Agent IoT Code Generation System
June 29, 2026 – Present
Developed a multi-agent system that decomposes IoT tasks into specialized subtasks and synthesizes production-ready embedded code using LangGraph orchestration.
Autonomous Data Analysis Agent
June 29, 2026 – Present
Created an AI agent that autonomously analyzes CSV datasets, generates visualizations, and provides statistical insights by executing Python code dynamically.
View ProjectCultural Fit Analysis
The candidate's experience spans various domains (telecommunications, smart buildings, healthcare, IoT) and includes both academic and industry projects, indicating a broad interest and adaptability. The involvement in multi-agent systems and generative AI aligns well with an AI Engineer role. The dual-degree master's program and international education (EURECOM) suggest an open-minded and globally aware individual, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate lists 'Public Speaking', 'Problem Solving', and 'Team collaboration' as soft skills. The project descriptions and experience indicate a problem-solving approach and an ability to work on complex technical tasks. The diverse project types suggest adaptability, which is beneficial for operational fit.