Zyad Mohamed

Computer Vision EngineerPart Time

• Job Details:Developed a panoramic model for dental X-ray images using custom datasets, enabling better visualization for dental diagnostics. Applied object detection and segmentation techniques on panoramic dental images to enhance feature extraction. Worked with AWS, utilizing Amazon SageMaker to train and deploy machine learning models. Implemented a state-of-the-art Cephalometric Landmark Detection model on the dataset, achieving improved accuracy for dental measurements and diagnostics.

Machine Learning EngineerFull Time

• Job Details:Automated, centralized, and digitized internal business processes, enhancing operational efficiency. Designed and implemented scalable cloud-based solutions using Microsoft Azure and AWS, leveraging Azure AI services for data analytics and machine learning capabilities. Worked with AWS services such as EC2, S3, AWS Lambda, DynamoDB, API Gateway, and Textract to deploy machine learning models and manage workflows. Applied various NLP algorithms and Large Language Models (LLMs) like LLaMa 2 to improve the user experience on the website. Worked on deployment using Kubernetes (K8s) and Helm charts for scalable solutions