Help & Supportcareers@gravityer.com
AI Engineer with 3+ years in AI Automation, Deep Learning & Web Development
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 background in architecting and deploying automated AI workflows and developing intelligent systems. Proven ability to leverage deep learning, prompt engineering, and cloud technologies to solve complex problems in monitoring, forecasting, and data analysis. Experienced in building multi-agent systems, integrating diverse APIs, and developing full-stack web and mobile applications.
Faculty of Science and Technology (FST), Tangier
Master in Artificial Intelligence & Data Science · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2025
Faculty of Science and Technology (FST), Mohammedia
Bachelor in Computer Science, Networks & Multimedia · Computer Science, Networks & Multimedia
August 1, 2022 – June 30, 2023
Linkrs Marokko
AI Engineer
December 1, 2025 – Present
Casablanca, Casablanca-Settat, Morocco
German Research Center for Artificial Intelligence (DFKI)
Research Fellow – BenchSTPP Project
July 1, 2025 – May 1, 2026
Germany
Digital Innovation Center of Excellence (DICE – UM6P)
AI Engineer - Intelligent Scientific Monitoring System
February 1, 2025 – July 1, 2025
Benguerir, Marrakesh-Safi, Morocco
Moroccan Company of Volumetric Meters (SMCV)
Web & Mobile Developer – Internship
April 1, 2023 – June 1, 2023
Mohammedia, Casablanca-Settat, Morocco
Chatbot Assistant with RAG & Fine-Tuning
June 29, 2026 – Present
Constructed a domain-specific RAG pipeline integrating embeddings, retrievers, rerankers, and generator. Fine-tuned Llama-2 using QLORA on curated French university documents.
Real-Time Sentiment Analysis on Streaming Data
June 29, 2026 – Present
Built streaming ETL pipeline for ingesting real-time Twitter data via Kafka and Spark. Designed transformer-based sentiment classifier optimized for low-latency processing.
Cultural Fit Analysis
The candidate's experience spans academic research (DFKI), corporate AI development (Linkrs Marokko, DICE – UM6P), and personal projects, indicating a broad interest in AI applications. The involvement in both R&D and practical deployment suggests a balanced perspective that could fit well into organizations valuing both innovation and execution. The use of various tools and frameworks points to a flexible and continuous learning mindset, which is beneficial for cultural fit in dynamic tech environments. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a capacity for independent work, as evidenced by personal projects and contributions to research initiatives. The experience with automated workflows (n8n, Zapier) suggests an operational mindset focused on efficiency. The diverse project types imply adaptability and a willingness to tackle different challenges within an AI engineering role.