class NaveenChethiya:
name = "Naveen Chethiya"
alias = "Naviya-C"
location = "Kadawatha, Sri Lanka 🇱🇰"
role = "Machine Learning Engineer"
focus = [
"End-to-End AI Applications",
"Custom ML Models (no black-box APIs)",
"ML Pipeline & Microservices",
"FastAPI + Deep Learning Systems",
"AI for Finance & Business Intelligence"
]
philosophy = "Models are only useful when they work in real systems."
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing 🚀")| 🎯 Area | 📌 Details |
|---|---|
| 🤖 AI Applications | End-to-end production-ready AI systems |
| 🧩 Custom ML Models | No black-box APIs — built from scratch |
| ⚙️ ML Engineering | Pipelines, microservices, scalable design |
| 🌐 Backend Integration | ML + FastAPI backends |
| 📊 Domain Expertise | Finance, Travel & Business Intelligence |
| 🎓 Learning Path | DeepLearning.AI · MLOps · Full-Stack ML |
"Models are only useful when they work in real systems."
I prioritize:
- 🏗️ Clean, maintainable architectures
- 🔄 Scalable ML pipelines
- 📦 Production-ready code quality
- 📊 Realistic data & real-world constraints