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AI Engineer with less than a year in AI & Web Development
AI Engineer & Full-Stack Developer with a strong focus on building intelligent, scalable applications. Expert in integrating Large Language Models (LLMs) with modern web architectures using Python (Django/FastAPI) and Spring Boot. Specialist in Agentic AI (LangGraph, MCP) and Data-Driven solutions (RAG, Text-to-SQL, Predictive Analytics). Currently completing a European double degree and a final-year internship. Actively seeking junior or remote opportunities in AI, backend, or full stack development.
Université Côte d'Azur
Master in Applied Artificial Intelligence
October 1, 2025 – September 1, 2026
Moroccan School of Engineering Sciences EMSI
Engineering Degree in Computer Science
October 1, 2021 – September 1, 2026
Lycée Hassan II
Bachelor of Experimental Sciences · Physics Stream
October 1, 2020 – September 1, 2021
RED
Conversational AI Engineer
March 1, 2026 – July 1, 2026
India
REVEY
AI & Full-Stack Develope
October 1, 2025 – March 1, 2026
India
C2M
Mobile Developer
July 1, 2025 – March 1, 2026
India
Cultural Fit Analysis
The candidate is pursuing a double degree in Computer Science and Applied Artificial Intelligence, demonstrating a strong commitment to the field. Their project diversity, ranging from conversational AI to route optimization and image classification, indicates adaptability and a broad interest in AI applications. The roles held, particularly 'Conversational AI Engineer' and 'AI & Full-Stack Developer', align well with an 'AI Engineer' target role. However, the experience is relatively short-term (internships/junior roles), which might require additional mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying advanced AI concepts in practical scenarios. The description of multi-agent architectures and integration of various AI/ML components suggests an ability to work on complex, interconnected systems. The focus on observability with LangSmith also points to an understanding of operational best practices in AI development. However, without psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.