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AI Engineer with less than a year in LLM Workflows & Automation
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Assessing your cultural and operational fit
AI engineer with a software engineering background, currently working at Intelcia Tech on AI-driven workflow automation and client-facing prototypes. My work focuses on LLM orchestration, model benchmarking, CRM/process automation, and backend/data integration using Python, LangChain/LangGraph, n8n, HubSpot and Docker. Comfortable moving from a vague business process to a structured workflow, a working MVP, and clear documentation for technical and non-technical stakeholders.
Mohammed V University, Rabat
Master's in Digital Sciences and Artificial Intelligence · Digital Sciences and Artificial Intelligence
August 1, 2023 – June 30, 2025
Ibn Zohr University, Agadir
Bachelor's in Software Engineering · Software Engineering
August 1, 2020 – June 30, 2023
Intelcia Tech
AI Engineer Intern
January 1, 2026 – Present
Casablanca, Casablanca-Settat, Morocco
AI Driver Assistant with Near-Collision Estimation
June 29, 2026 – Present
Built an AI driving-assistance prototype combining object detection, monocular depth estimation and distance estimation for near-collision analysis. Integrated DETR, GLPN and an LSTM estimator; served predictions through a FastAPI WebSocket service for image-frame processing. Worked on model evaluation, Docker packaging and deployment on GCP.
Document Layout Analysis & Reconstruction System
June 29, 2026 – Present
Developed an AI pipeline to analyze document images and reconstruct them into DOCX with high layout fidelity. Used YOLOv10 (ONNX) trained on DocLayNet for document element detection and Tesseract OCR for EN/FR/AR extraction. Preserved layout with pixel-level positioning, including tables, headers/footers, document frames and images.
AI Engineer Certificate
Ark-x Academy
June 1, 2026 – Present
IT Project Manager Professional Certificate
IBM
June 1, 2026 – Present
OCI Generative AI Professional
Oracle
January 1, 2025 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the subject matter and related skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a strong interest in cutting-edge AI applications (e.g., near-collision estimation, document layout analysis). The internship at Intelcia Tech shows practical application of AI in an enterprise setting, including LLM benchmarking and workflow automation. The diverse range of technologies and problem domains (computer vision, NLP, workflow automation) indicates adaptability and a broad skill set. The certifications in AI Engineering and OCI Generative AI Professional further align with a strong commitment to the AI field. The IT Project Manager Professional Certificate suggests an understanding of project lifecycle, which can be beneficial in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work on complex problems, benchmark solutions, and integrate various systems. The mention of translating 'vague business process to a structured workflow' indicates good problem-solving and communication skills for technical and non-technical stakeholders. However, the psychometric test score is relatively low (302/500), which might suggest areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though specific details are not provided.