Bridging the gap between IT Operations and Predictive Analytics. I specialize in building production-ready ML systems, scalable data pipelines, and automated deployment workflows.
- 🧠 NLP & AI: Developing sentiment analysis systems for native languages.
- ⚙️ MLOps: Automating the lifecycle of ML models from training to cloud deployment.
- 📊 Data Engineering: Building real-time streaming pipelines with Kafka and Spark.
- 🌱 Currently deep-diving into Advanced NLP and Scalable MLOps Architectures.
| Project | Tech Stack | Description |
|---|---|---|
| Sinhala Sentiment Analysis API | FastAPI, Docker, HuggingFace |
Production-ready NLP system with automated CI/CD and glassmorphism UI. |
| ML System Observability | Prometheus, Grafana, Python |
Real-time monitoring for data drift and model performance. |
| Real-Time Analytics System | Kafka, Spark, PostgreSQL |
High-performance streaming pipeline for market data processing. |
| Automated ML Deployment | GitHub Actions, Docker, HF Spaces |
Zero-touch MLOps pipeline for continuous model delivery. |
Languages & Core
Data Science & AI
MLOps & Cloud
Monitoring & Data Engineering
"Building intelligent systems that scale."