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AI Engineer with 1+ years in Agentic Systems, LLM-based Systems, and RAG Pipelines
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AI Engineer specialized in agentic systems, LLM-based systems, RAG pipelines, and production AI applications. Experienced in building end-to-end AI products from data pipelines to deployment.
École Nationale Supérieure d'Électricité et de Mécanique (ENSEM) et Télécom Nancy
Double Degree · Numeric and Embedded Systems Engineering
August 1, 2024 – Present
Institut National des Sciences Appliquées et de Technologie (INSAT)
Master's Degree · Embedded Systems Engineering
August 1, 2020 – June 30, 2024
Emotors, Stellantis
AI Software Engineer
March 1, 2026 – Present
Paris, Île-de-France, France
CRAN laboratory
Brain Computer Interface Researcher
September 1, 2025 – March 1, 2026
Nancy, Lorraine, France
VamiSec GmbH
AI Engineer and Consultant
September 1, 2024 – March 1, 2026
Bonn, North Rhine-Westphalia, Germany
Gerhard Schubert GmbH/BS Automation
Software Engineering Intern
June 1, 2024 – September 1, 2024
Tunis, Tunis, Tunisia
Pricer Agent
June 29, 2026 – Present
Developed an intelligent pricing system that scrapes websites for products, normalizes data, and identifies good deals. Leveraged closed-source and open-source LLMs, RAG, and vectorized data to accurately predict real market prices. Built an interface with email notifications, real-time visualization, alerting and monitoring.
View ProjectCultural Fit Analysis
The candidate's experience across multiple companies (Emotors, VamiSec, CRAN laboratory, Gerhard Schubert GmbH) and a personal project (Pricer Agent) showcases a diverse range of applications and problem domains, from industrial AI platforms to BCI research and AI security. This breadth of experience, coupled with a strong academic background in embedded systems, suggests a versatile and curious individual who can adapt to different team environments and contribute to varied projects. The focus on production AI and compliance aligns well with industry best practices and a professional work ethic.
Soft Skills & Operational Fit
The candidate's experience in leading interviews with R&D managers, designing platforms, and consulting on AI security indicates strong communication, leadership, and problem-solving skills. Their work on improving AI system transparency and user trust suggests an understanding of ethical AI and user-centric design. The diverse project portfolio demonstrates adaptability and a proactive approach to learning and applying new technologies.