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AI Engineer with less than a year in Generative AI & Backend
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Graduate Computer Science Engineer focused on Junior AI Engineer and Generative AI Engineer roles. Equipped with solid practical experience in manipulating advanced models (LLMs / VLMs), designing AI chatbots with RAG architecture, Document AI, Machine Learning, and developing high-performance REST APIs. Capable of building end-to-end AI applications and deploying models via FastAPI and Docker. Passionate about industrializing LLM applications, optimizing data pipelines, and creating production-ready smart and robust solutions.
ENSA Berrechid
State Engineering Degree · Computer Science
August 1, 2023 – June 30, 2026
EST Oujda
DUT (Two-Year University Degree) · Network and Systems Administration
August 1, 2021 – June 30, 2023
Finashore
AI Engineer Intern – Document AI / OCR
January 1, 2026 – June 1, 2026
Casablanca, Casablanca-Settat, Morocco
Innovatech Engineering
Data & Backend Intern
July 1, 2025 – September 1, 2025
Casablanca, Casablanca-Settat, Morocco
Direction Générale de la Météorologie
Backend & Security Intern
July 1, 2024 – August 1, 2024
Casablanca, Casablanca-Settat, Morocco
Clinique Panorama
Java Full Stack Developer Intern
June 1, 2024 – July 1, 2024
Casablanca, Casablanca-Settat, Morocco
GreenLens – AI Plant Diagnosis Assistant
January 1, 2025 – December 31, 2025
• Designed and trained a Convolutional Neural Network (CNN) under TensorFlow / Keras dedicated to automated plant pathology classification. • Set up OpenCV routines for advanced preprocessing and geometric data augmentation of images to optimize overall model robustness. • Integrated within a mobile application using cross-platform React Native communicating with dedicated inference endpoints.
Smart Finance Manager – AI Budgeting SaaS
January 1, 2025 – December 31, 2025
• Designed a highly available personal finance management SaaS application relying on a decoupled microservices architecture and REST APIs. • Developed an AI chatbot based on a RAG pipeline, providing contextualized and personalized answers derived from user financial data and application context. • Predictive modeling of cash flow by implementing time series algorithms with Scikit-learn to anticipate budget trends. • Automated expense anomaly detection using unsupervised learning algorithms to instantly identify suspicious transactions.
Fraud & Phishing Detection System
January 1, 2024 – December 31, 2024
• Developed an end-to-end NLP classifier trained for semantic analysis and phishing detection within textual streams. • Textual feature engineering pipeline (tokenization, TF-IDF) and training of a Random Forest model evaluated via Precision, Recall, and F1-score. • Industrialized the solution by creating a lightweight inference service with Flask, consumed by a React.js interactive user interface.
Oracle Cloud Infrastructure AI Foundations
Oracle Cloud Infrastructure
June 1, 2026 – Present
Python Data Science
IBM / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from finance management to fraud detection and plant diagnosis, indicates a broad interest in applying AI across various domains. Their experience in both AI engineering and backend development, coupled with certifications, shows a commitment to continuous learning and a versatile skill set that aligns well with dynamic tech environments. The internships in different companies suggest an ability to adapt to various organizational cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing inference latency and implementing human-in-the-loop decision logic. Their experience with diverse projects suggests adaptability and a proactive approach to learning new technologies. The focus on end-to-end solutions indicates a good understanding of operationalizing AI models.