I'm Mehdi Neggazi, a DevOps Engineer & Systems Architect
I’m a DevOps and systems engineer with strong hands-on experience in cloud infrastructure, automation, AI agent systems, and backend engineering. I design, deploy, and operate resilient platforms that bridge software, infrastructure, and intelligence.
My work spans AWS, containerized environments, CI/CD pipelines, real-time systems, and AI integrations, with a strong emphasis on performance, observability, and reliability. I enjoy turning complex operational challenges into clean, scalable, and maintainable architectures.
Beyond infrastructure, I actively build AI-powered tools, automation pipelines, and experimental systems at the intersection of DevOps, applied AI, and system design.
Beyond Engineering
Outside of client and production work, I enjoy:
- Exploring agentic AI and emerging automation paradigms
- Building custom tools, scripts, and system optimizations
- Working with hardware, drones, and embedded systems
- Studying neuroscience, brain-computer interfaces, and cognitive optimization
- Continuously learning in cloud security, system performance, and architecture design
What I Do
DevOps & Cloud Engineering
I design and manage cloud-native infrastructure using AWS, Docker, CI/CD pipelines, and infrastructure-as-code. My focus is on scalability, security, automation, and high availability across development and production environments.
AI Systems & Automation
I build and integrate AI-driven systems, including agent architectures, automation workflows, and real-time processing pipelines. I specialize in making AI practical, efficient, and production-ready, not just experimental.
Backend & System Design
I architect backend systems and APIs with a focus on robustness, extensibility, and performance. My work includes Node.js, Python, real-time communication, databases, and distributed system design.