Working on multiple computer vision projects such as:- Biometric Authentication using face recognition.- Face Anti-spoofing: Fake face detection.- Traffic Monitoring using Radar and LPR camera.Working on end-to-end computer vision projects.Building AI features to be integrated with other projects.Documenting and communicating project plans and evaluations for future work.Evaluating and assessing the accuracy and performance of the models before deploying.Optimizing the AI models.Building APIs to deploy the services.

Built an end-to-end AI software for the health-care field that aims to early detect diabetic retinopathy disease in the eyes in order to prevent blindness.Deployed the software on AWS cloud and set up the environment including EC2 instances, lambda functions, DynamoDB, etcBuilt an API for the project to be accessed through our website.Monitored and maintained the project in production

Key projects:Vehicles detection and tracking: detect, track and classify vehicles.Fingerprint Recognition: Identify and verify a person using his fingerprint taken from a laser scanned image.Speaker Recognition: identify a speaker using his voice to use as an authentication method.Face Mask Detection: detect face masks to ensure safety due to the COVID-19 pandemic.Participated in all aspects of AI development activities, including Designing, Modeling, developing, reviewing, testing, bug fixing, and documenting.Built end-to-end AI pipelines starting from data pre-processing to deployment.Collaborated with the pre-sales team to understand and meet the clients' requirements.