Mahmoud Yasser
About Candidate
I am a mid-level Node.js developer with 2 years of experience in Node.js, MongoDB, Elasticsearch, Kubernetes, and CI/CD. I am confident that my skills and experience make me a strong candidate for this role.
In my current role, I have been responsible for designing and building scalable and high-performance Node.js applications, integrating with MongoDB and Elasticsearch for data storage and retrieval, and deploying and managing applications on Kubernetes clusters. I have also been involved in implementing CI/CD pipeline for these applications, ensuring that they are deployed and maintained in a consistent and automated manner.
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Location
Education
I was the instructor of the web development course at IEEE community in benha university. I mentored 20 Student during this period teaching them HTML, CSS, JavaScript, NodeJS, ExpressJS, and MongoDB.
Work & Experience
1- Involved in the development of 3 internal systems: flights, hotels, and trains. 2- Launched trending destinations system for flights using user search data to create realistic pricing trends, resulting in 30% increase in accuracy of flight prices and 300$/month reduction in cost by eliminating third-party APIs. 3- Optimized flight search process, reducing response time by 40%. 4- Mentored and supervised 3 junior backend developers, helping them to become proficient in working on any company project. 5- Designed database schema for trains system which improved performance, scalability, and user experience with a 33% reduction in response time and 20% lower prices compared to the previous mapping. 6- Contributed to building the CI pipeline on GitHub actions for the build and deployment process. 7- Utilized Elastic Stack for logging searches, redirects, visitors, bookings, and integrated the Elastic APM and RUM into our systems to monitor the system performance and issues. 8- Developed an internal dashboard for monitoring bookings and tracking visitor behavior on the website. Achieved a 15% increase in bookings and 20% increase in visitor engagement after enhancing the search process algorithm which became faster and shows lower prices.
