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 designing enterprise AI systems at Orange Business in Cairo. My work sits at the intersection of data engineering, AI systems design, and product strategy.
Every system I build is engineered to compound in value over time: eliminating operational overhead, accelerating decision cycles, and creating AI-native workflows that scale without proportional headcount increases.
Businesses that embed AI into their operations as a capability layer — not just a point solution — will have an insurmountable advantage inside two years. I help the ones serious about that transition get there first.
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.
I take on a small number of engagements per quarter. Here's who gets the most out of working with me.
No black boxes. No scope creep. Every project follows the same five-phase structure — from problem diagnosis to deployed, monitored system.
Not just "AI integration" — real engineering across the full stack. Here's where the complexity actually lives.
From CTOs to Founders — enterprise leaders on working with Mario Shady.
"Mario inherited a reporting pipeline that took 6 hours to run and handed us back a system that finishes in under 4 minutes. He mapped the bottlenecks in the first week, had a proof of concept on Spark by week two, and pushed to production in 38 days. Measured ROI inside the first month."
"We had a WhatsApp sales flow that required three people to manage manually. Mario built an autonomous system that now handles 1,200+ messages a day — lead capture, qualification, follow-up, CRM sync. We reassigned those three people to actual sales. The system paid for itself in the first month."
"I asked for a reporting dashboard. What I got was an AI layer that queries our data warehouse in plain English, flags anomalies automatically, and delivers a briefing to the exec team every morning before 8am. Mario pushed back on my original spec and built something more useful. That matters."
"Most engineers optimize what you ask them to build. Mario interrogates whether you should build it at all, then architects around the constraint you actually have. The multi-agent pipeline he designed handles 40 concurrent document processing workflows. We could not have scaled our ops team fast enough otherwise."
A 30-minute audit to map your current workflows, identify what can be automated, estimate the ROI, and tell you exactly what an AI system would need to look like to solve it. No commitment required.
You'll leave with a clear picture of where AI creates the most value in your operation — whether we work together or not.