class DataArchitect:
def __init__(self):
self.name = "Moji"
self.role = "Data & AI Architect"
self.location = "Milan, Italy 🇮🇹"
self.status = "Freelance Professional"
self.specialization = "Data & AI Engineering"
self.motto = "Turning Data into Intelligence"
def get_current_focus(self):
return [
"Building scalable data pipelines",
"Designing AI architectures",
"Optimizing ML workflows",
"Chess strategy optimization 🏁"
]
graph TD
A[🧠 AI Architecture] --> B[Data Pipeline Optimization]
A --> C[ML Model Deployment]
B --> D[Real-time Analytics]
C --> E[Scalable Solutions]
D --> F[🚀 Production Ready]
E --> F
style A fill:#1E3A8A,stroke:#3B82F6,stroke-width:2px,color:#fff
style F fill:#059669,stroke:#10B981,stroke-width:2px,color:#fff
| 🎾 Tennis Enthusiast | ♟️ Chess Strategist | 🔧 Pipeline Optimizer | 🌍 Multi-Cloud Expert |
|---|---|---|---|
| Serving aces on and off the court | Always thinking 5 moves ahead | Making data flow like poetry | Architecting across all clouds |
🔥 Building the future of data architecture
🎾 Perfecting my backhand
♟️ Analyzing chess positions
☕ Fueled by espresso (it's Milan, after all!)
💬 "Always up for a challenge—whether it's optimizing data pipelines or finding a killer move in chess!"
🚀 Built with passion in Milan | 🎯 Crafted for the GitHub community