Kirollos A.

I’m a AI Software Engineer and Product Engineer specializing in building production-grade AI agents, intelligent automation systems, and scalable full-stack platforms that deliver measurable business outcomes. I work differently than traditional developers: we start from the business goal, define clear success metrics, and then engineer AI-powered systems that move those metrics forward — reliably and at scale. What I help clients build - AI agents for business operations, customer support, sales, and internal workflows - RAG systems (retrieval-augmented generation) connected to real company data - Intelligent automation pipelines that replace manual or repetitive processes - Scalable backend systems and APIs that support AI-driven products Technical expertise (note: these skills I have hands-on experience in; any other language or tool i can use and learn) - AI: AI Agents architecture, RAG systems, Agents memory, MCP creation - Backend: Node.JS, NestJS, Python, Laravel - Frontend: ReactJS, NextJS, Vue - Databases: MongoDB, PostgreSQL, MySQL, Redis - Infrastructure: AWS, DigitalOcean, Docker, CI/CD - Architecture: Microservices, distributed systems, production-ready design Selected experience - Goal-Oriented AI Software Engineer – CustomGPT .ai Building production-grade AI agents and intelligent automation systems focused on measurable business outcomes, including agent architecture, RAG implementations, and system integrations. - Software Engineer – Geeker .co Designed and implemented a production-ready payment system and scalable microservices architecture. - Mid Backend Software Engineer – Webelocity Worked on the Toolswift e-commerce platform using NestJS, handling concurrency with worker threads, real-time sockets, Google Merchant Center integration, and high-volume bulk upload systems with progress tracking. I’m comfortable working with distributed teams, moving fast in ambiguous environments, and turning complex requirements into reliable, maintainable systems. My focus is always on impact, scalability, and real-world usability — not just shipping code. If you’re looking to build AI systems that actually work in production and move the business forward, let’s talk.