AI Engineer · Automation Architect · Systems Builder
I design and deploy enterprise-grade AI infrastructure — from intelligent automation pipelines to multi-agent orchestration systems — that eliminate operational bottlenecks, accelerate decision cycles, and create compounding leverage for high-growth companies.
I'm Mario Shady — a Data & AI Engineer currently designing enterprise AI systems at Orange Business in Cairo. My work sits at the intersection of data engineering, AI systems design, and product strategy.
I don't build tools. I architect leverage. Every system I design is engineered to compound in value over time: reducing operational overhead, accelerating decision velocity, and creating AI-native workflows that scale without proportional headcount increases.
My philosophy is simple — businesses that treat AI as a capability layer rather than a point solution will win decisively. I help them get there before their competition does.
Every engagement is scoped to deliver measurable operational impact — not just technology delivery. Here's where I drive the most value.
Redesigned a legacy reporting infrastructure into a cloud-native, real-time data platform serving the Orange Business Data & AI department. Built distributed ingestion pipelines, Snowflake-based warehouse, and AI classification layers.
Built a fully autonomous WhatsApp AI system that handles lead capture, qualification, follow-up sequences, and CRM synchronization. Zero human intervention required for standard lead flows.
Built an AI analytics layer on top of existing BI infrastructure, enabling natural language querying of enterprise data, automated anomaly detection, and AI-generated executive briefings delivered daily.
An AI-powered system that generates fully functional Flutter mobile applications from natural language specifications. Handles UI generation, business logic, backend integration, and app store readiness automatically.
A battle-tested stack built for enterprise-scale AI systems, distributed data platforms, and production-grade automation.
Two companies in motion. One long-term vision: an AI operating layer that fundamentally changes how humans interact with technology.
NovaMind AI builds enterprise-grade AI automation systems, SaaS products, and high-ticket AI solutions for businesses ready to operate at the next level. Every product is designed to eliminate manual work at scale and compound operational efficiency over time.
FutArt is building the intelligence layer that will sit between humans and their wearable technology. Starting with Meta Ray-Ban smart glasses, the vision extends across every major wearable ecosystem — creating a persistent, context-aware AI presence that operates as a true cognitive extension.
Every system I build today is infrastructure for tomorrow. The data pipelines, AI agents, automation frameworks, and product architectures I'm designing now form the foundation of an AI operating layer that will redefine human-computer interaction across the next decade of wearable technology.
From CTOs to Founders — enterprise leaders on working with Mario Shady.
"Mario delivered what our internal team couldn't in six months — in six weeks. The AI automation system he built replaced three full-time roles in our ops pipeline. The architecture is clean, scalable, and exactly the kind of enterprise-grade work we needed. This is not freelancer-level output."
"We engaged Mario for an AI data platform modernization — migrating a legacy system that had accumulated 8 years of technical debt. He had a working prototype in two weeks and production deployment in 45 days. The ROI on this project was measurable within the first month."
"Our operations team was drowning in manual reporting. Mario built us an AI analytics layer that now produces executive-ready briefings autonomously every morning. He thinks in systems, not features — that's the difference between a good engineer and someone who actually changes how your business runs."
"I've worked with dozens of AI consultants and developers. Mario is categorically different. He doesn't just implement what you ask for — he understands the business problem first, then engineers the right solution. The multi-agent system he designed for us is genuinely impressive. We use it as a competitive differentiator."
I take on a limited number of engagements each quarter to ensure every client gets the full depth of my attention. If you're building something serious — enterprise AI, automation infrastructure, or a data platform — let's talk strategy first.