Eya Ghamgui

Artificial Intelligence Research Engineer @SLB

FR

Leading Projects in Computer Vision & Deep Learning:I led projects applying computer vision to geological data, focusing on state-of-the-art research, model design and training, performance monitoring, inference optimization, and deployment. These projects cover applications such as object detection, image segmentation, classification, and style transfer.• Exploring Novel Approaches in Computer Vision:I explored cutting-edge areas in computer vision, such as transformer models for image segmentation and diffusion models for style transfer. I also studied Large Foundation Models like SAM, DinoV2, RAM, and the use of large language models (LLMs) in computer vision.• Benchmarking Deep Learning Models:I benchmarked deep learning models across various applications, ensuring optimal performance and identifying the best approaches for specific tasks.• Exploring MLOps Platforms:I explored various MLOps platforms to streamline and enhance the deployment and management of vision models.• Developing Annotation Tool:I developed an annotation tool and a visualization tool for vision projects using Plotly and Mayavi. These tools significantly enhanced the efficiency and accuracy of data labeling and exploration.• Supervision:I supervised interns and a group of students, guiding them to explore AI projects on real-world applications.• Sharing Expertise within the Organization- Computer Vision Hackathon: participating in the organization- AI Tech-Talks and Webinars: hosting lectures and sharing insights and advancements in AI- Training Sessions: conducting training sessions on different AI topics. • Scientific Publication:I authored and published a paper in a scientific conference.