Ezz ElDin is a seasoned and results-oriented Senior Software Engineer and Tech Lead with over a decade of experience in designing, developing, and deploying scalable and high-performance software solutions. He possesses a strong expertise in full-stack development, cloud architectures (particularly AWS and Azure), and DevOps practices. Ezz is passionate about leveraging emerging technologies to solve complex business problems and has a proven track record of leading engineering teams to deliver innovative products. He is a proponent of agile methodologies, clean code, and continuous improvement, always striving to foster a collaborative and growth-oriented environment.
Ezz ElDin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the design and implementation of a new microservices-based fintech platform, handling over 1 million transactions per day, which increased processing efficiency by 40% and reduced operational costs by 25%.
Successfully led the migration of legacy monolithic applications to a cloud-native architecture on AWS, improving system reliability to 99.99% uptime and enhancing scalability for future growth.
Developed and patented an AI-driven recommendation engine for an e-commerce client, resulting in a 15% uplift in average order value and personalized user experiences.
Actively mentors junior engineers and contributes to local tech meetups by presenting on topics like serverless computing, containerization, and modern JavaScript frameworks.
Authored a whitepaper on 'Best Practices for Building Scalable and Resilient Distributed Systems,' which was featured in a prominent industry journal.
Stanford University - Year 2012
Ain Shams University
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Falco is an open-source, cloud-native runtime security project that acts as a threat detection engine for Kubernetes, Linux, and containerized applications. It was originally created by Sysdig and is now a CNCF (Cloud Native Computing Foundation) incubating project. Falco parses Linux system calls from the kernel at runtime, and asserts the stream against a powerful rules engine to detect and alert on anomalous activity or security policy violations.
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