◦ Created email service with exposed functions via gRPC server responsible for sending all system emails in designated templates.◦ Researched, Designed and implemented an integration with a third party service responsible for managing the system extra services (cleaning, maintenance..etc) using web-hooks.

◦ Designed, developed and successfully shipped an accounting dashboard exposing all system existing numbers by creating complicated calculations and queries.◦ Managed to create an export service that utilizes python XLS library to help create and produce custom shaped scheduled exports in few hours instead of manually doing it in days.◦ Contributing to the agile process management, interviewing candidates, holding meetings, documenting and designing features.

• Revamped an untracked Django backend service for data gathering andintegrated with Kubernetes architecture using helm.• Contributed to the development of a Kubernetes side-car injection solution tospeedup integration and Increase adoption of newly created access management control system.• created url shortening service to be used by all swvl services internally fromscratch to production.• Introduced a sockets solution that replaced a $12k third party callingservice subscription.• Fixing broken windows and contributing into a technical debt initiatives.

• Successfully implemented REST APIs for a makeup reviewing application in Node.js and Firebase• Created ETL pipeline to extract data from CSV files, transform it, and upload it to firebase realtime database.• Successfully created image-processing algorithm for facial feature extraction, dockerized, and deployed on AWS EC2 instance.

• Implementing and Refactoring REST APIs of an online collaborative platform for 3D modeling.• Researching and applying novel deep reinforcement learning techniques to transform digital images into real paintings on canvas by converting image's pixels into brush strokes a robot can follow.

• Conducted my bachelor thesis in machine learning with grade: A• Managed to build a fully functional Python application to recognise hand gestures of Arabic sign language from streaming videos.

Contributed to many applications on the backend and frontend level using the MERN stack