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AI Engineer with 1+ years in Machine Learning & Deep Learning
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 & Data Scientist with 1.1 years of experience in developing and deploying intelligent systems. Expertise includes LLM agent design for workflow automation, neural network-based handwriting recognition, and real-time object detection with deep learning models. Proficient in Python, cloud technologies like Docker, and various ML/DL frameworks, consistently delivering scalable and efficient AI solutions.
IBN TOFAIL UNIVERSITY
M.S · Artificial Intelligence and Virtual Reality
August 1, 2023 – June 30, 2025
Ibn Zohr University
B.S. · Mathematics and Computer Science, Major in Computer Science
August 1, 2020 – June 30, 2023
Sidi Amrou High School
Baccalaureate · Physical Sciences
June 1, 2019 – May 31, 2020
Elavi - Flyer.be
AI Engineer - Agent Workflow Automation (n8n)
August 1, 2025 – November 1, 2025
Morocco
DXC Technology
AI Engineer Intern - Handwriting Recognition with Neural Networks
February 1, 2025 – July 1, 2025
Morocco
IBN TOFAIL UNIVERSITÉ - SETIME LAB
AI Engineer Intern
April 1, 2024 – June 1, 2024
Morocco
Custom-OCR-YOLO
June 1, 2026 – Present
Developed a custom OCR solution by integrating YOLOv3 for object detection and Tesseract for text extraction, enabling automated reading of lab report images. Implemented robust image preprocessing (cropping, resizing, thresholding) using OpenCV and Numpy to optimize recognition accuracy.Automated data extraction and conversion to editable CSV files with Pandas, streamlining information management for laboratory results.
Bank IAV API
June 1, 2026 – Present
Developed a robust and scalable backend API for banking applications using Flask and gRPC, providing essential functionalities such as user registration, authentication, and transaction management.Integrated SQLAlchemy as the ORM(Object-Relational Mapping) to manage complex database operations efficiently with PostgreSQL, ensuring data integrity and scalability in financial transactions. Implemented secure JWT-based authentication using Flask-JWT-Extended and integrated the system with Jira to prioritize development tasks.
Intro to LLMs
Unknown
June 1, 2026 – Present
Machine Learning in Python
Unknown
June 1, 2026 – Present
Intro to NLP for AI
Unknown
June 1, 2026 – Present
Advanced SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from OCR solutions to banking APIs and LLM-driven automation, indicates a broad interest and adaptability to different problem domains. The academic background in AI and Virtual Reality, coupled with practical experience in AI engineering roles, aligns well with an AI Engineer target role. The breadth of technical skills, including various ML frameworks, databases, and DevOps tools, suggests a proactive learning attitude and a good fit for dynamic technical environments. The candidate's experience with open-source APIs and containerization also points to a modern development mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting strong problem-solving skills. The use of Jira in a project implies familiarity with agile methodologies and task prioritization. The detailed descriptions of technical implementations suggest a methodical approach to development. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is limited.