My name is Ahmed Eid Abdullah, a Senior Backend Engineer with over three years of experience building reliable, scalable, and production-grade systems. My work focuses on distributed systems, event-driven architectures, real-time applications, and infrastructure powering modern AI and blockchain platforms.

My journey into technology started during university, where I developed a strong interest in web application and API security. I worked as a web penetration tester and vulnerability researcher, reporting more than 100 security vulnerabilities across various applications. During this period, I ranked among the top researchers on Bugcrowd and was awarded the MVP Badge (Q3 2020) for my contributions to responsible disclosure and application security.

During this period, after reporting a vulnerability in a public bug bounty program, I was asked to provide a USDT wallet address to receive a bounty. At the time, I was unfamiliar with cryptocurrency payments, which led me to explore how they work. That curiosity eventually introduced me to blockchain technology, decentralization, and Web3 systems, becoming a turning point in my engineering journey.

After graduation, I dedicated five months to studying blockchain fundamentals, smart contracts, decentralized finance (DeFi), and distributed systems. This led to an internship at Polygon, one of the leading Ethereum Layer 2 scaling networks, where I contributed to the development of a production-grade multi-chain NFT marketplace and finished among the top three participants in the program.

This experience pushed me deeper into backend engineering and distributed systems. I became increasingly interested in the infrastructure behind large-scale applications, particularly asynchronous processing, messaging systems, real-time communication, and system reliability. Since then, I have worked on production systems involving Kafka, RabbitMQ, BullMQ, Redis, WebSockets, and event-driven architectures, with a strong focus on scalability, observability, and resilience under failure conditions.

Today, my work centers around distributed systems, AI and blockchain infrastructure, and high-throughput event-driven platforms. I enjoy analyzing system behavior under scale, identifying bottlenecks, and designing architectures that are resilient, observable, and easy to evolve.