Ahmed Yassin

devisionx·Full-time

As an AI Engineer at DevisionX, I contributed significantly to the development and deployment of AI-powered solutions with a focus on computer vision and quality control automation. My main contributions included: - AI Product Development: Designed, trained, and fine-tuned deep learning models for object detection, image segmentation, and multi-label classification, ensuring alignment with business objectives and user needs. - Backlog Management: Prioritized features and tasks in collaboration with stakeholders, ensuring timely delivery of AI solutions. - Data Pipeline Optimization: Streamlined data annotation workflows and optimized preprocessing pipelines, reducing processing time by 30% and improving model efficiency. - Stakeholder Communication: Acted as a bridge between technical teams and business stakeholders, ensuring clear communication and alignment on project goals. - Model Deployment: Assisted in deploying machine learning models on AWS EC2 GPU instances, ensuring scalability and performance in production environments. - AI-Driven Product Innovation: Contributed to the development of a computer vision system for automated fruit sorting, leveraging RGB and NIR imaging to classify produce with high accuracy.

devisionx·Full-time

Contribute to developing Tuba (A seamless platform to label, train, deploy and monitor AI Vision apps)

devisionx·Internship

- Enhanced machine vision capabilities by implementing YOLOv8 for object detection and segmentation tasks. - Integrated EfficientNet into the Tuba classification system, boosting model performance. Utilized Keras for streamlined development. - Improved project efficiency and reduced costs by 30% through the adoption of MLOps tools. - Developed skills in computer vision, object detection/classification, and deep learning.

strategic holding·Full-time

I orchestrated and managed exhibitors for the 'Cairo Wood Show Exhibition', and ensured seamless event operations.