My main activities are: Developing new features, solve bugs, optimize code, migrating components, and introduce innovative solutions to improve project outcomes.Reduced application loading times by up to 85% using React Developer Tools, significantly enhancing user experience.Created compound components and reusable templates, streamlining the development process and improving consistency across the application, making it easier to introduce new features to the application. Tech Stack: React.js · Axios ·Tanstack · Jira · Bitbucket · Prime React · use Context

Created an e-commerce platform in ReactJS to manage purchase orders from clients, manage inventory, and track every product from its entrance till it gets to the client. Which speeds up the process of incoming purchase orders by 50%. Developed a web application in ReactJS for sports centers where managers can create the full schedule of their daily activities and events. Depending on the location of the user, they can see, register and rate the closest sports centers. Automating 90% of the process that was made by hand in just six months of development. Currently working on a project in ReactJS for a medical clinic that allows doctors to register patients, register toxicology tests, generate audiometry tests, and review their record. Managing 100% of the 70–80 appointments they receive daily from companies.

Design, develop, and maintain interactive websites using various technologies such as HTML,CSS, JavaScript.Provide technical support to clients and end-users, responding to their inquiries andresolving technical issues in a timely and professional manner, coming up with a solution90% of the time.Implemented user-friendly documentation, ensuring that it was concise, well-structured,and easily understandable. Which reduced the Asana tickets by 40%.

Developed a prediction model using linear regression, decision trees, and XGBoost. Evaluate each one of them, and then tweak them to look for the best performance.The final model predicted the next 7 consecutive days of electricity consumption with a margin of error of 1.14%.The model was integrated into a platform where workers were able to upload files and get a prediction of the information given. Our model had a 6% improvement over the method the company used before.