Profile Details

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Hire MARYEM A.

Morocco

USD 40 /hr

Computer Vision Researcher & Engineer | Deep Learning for Vision

Profile Summary

I am a Computer Vision Research Engineer with strong experience in deep learning–based detection and segmentation. My work focuses on designing and deploying real-time computer vision systems using YOLO, UNet, and SegNet, with applications in safety monitoring, anomaly detection, and image analysis. I am currently a PhD researcher in computer vision, with published research on construction anomaly detection using YOLO-based models and change detection between orthophotos using hybrid UNet–SegNet architectures. Alongside my research, I work on applied projects involving custom model training, fine-tuning, performance optimization, and end-to-end inference pipelines for images, videos, and live camera streams. My background allows me to bridge academic research and industrial applications, delivering reliable, well-documented, and production-ready solutions. I am comfortable working on proofs of concept, research implementation, and applied AI systems, and collaborating with multidisciplinary teams on technically challenging projects.

Subject Matter Expertise

• ☆ Information Technology
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Publishing

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Business & Legal Writing, Creative Writing, General Proofreading & Editing

Research Market Research, Meta-Research, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Data & AI Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Processing

Product Development Concept Development

Work Experience

Mohammed V University

- Present

Education

PhD student in image processing and artificial intelligence (Mohammedia School of Engineering)

Mohammed V University

October 2023 - Present

Master degree : Space Technology and Information Technology (Faculty of Sciences Ain Chock)

University of Hassan II Casablanca

October 2021 - July 2023

Computer Systems Engineering and Software (High School of Technology Essaouira)

Cadi Ayyad University

September 2018 - July 2021

Certifications

• Introduction to Artificial Intelligence (AI)

  coursera

  https://www.coursera.org/account/accomplishments/verify/VS2M0UXCBQJP?utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=sharing_cta&utm_product=course

  July 2024 - Present

• YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp

  udemy

  https://www.udemy.com/certificate/UC-94eff4b8-d166-411d-99ed-300391ff2aa2/

  March 2024 - Present

• Aerial Image Segmentation with PyTorch

  coursera

  https://www.coursera.org/account/accomplishments/verify/N7UEL4D75SZQ

  February 2024 - Present

• Data Visualization with Python

  DigitalHub

  January 2024 - Present

• Python pour le Deep Learning & le Machine Learning: A à Z

  udemy

  December 2022 - Present

Publications

JOURNAL ARTICLE

Maryem Ait Moulay, Adil Salbi, Issam Bouganssa, Abdelali Lasfar (2025). Deep learning for building segmentation and change detection in urban monitoring: ‘Study case: Zenata City’ . Engineering Research Express.

Maryem Ait Moulay, Adil Salbi, Issam Bouganssa, Mohamed-Salim Masmoudi, Abdelali Lasfar (2024). An innovative approach for detecting buildings and construction anomalies in Zenata City . IAES International Journal of Artificial Intelligence (IJ-AI).

CONFERENCE PAPER

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.

Maryem Ait Moulay, Issam Bouganssa, Adil Salbi, Mohamed-Salim Masmoudi, Abdelali Lasfar(2024). Detecting Building Anomalies by Applying an Innovative CNN-Based Approach in the Casablanca Region Using Aerial Imagery . 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). p. 1-4.