- End-to-End ML Systems: From exploratory analysis to production deployment
- Model Optimization: Quantization, pruning, and distillation techniques
- Scalable Pipelines: Feature engineering and data preprocessing at scale
- Cloud ML Services: AWS SageMaker, GCP Vertex AI, Azure ML
- Monitoring & Observability: Model performance tracking and drift detection