Hi, I'm Edward Praveen - a Senior ML Engineer and AI Architect focused on building production-grade AI systems.
I write about LLMs, RAG pipelines, multi-agent systems, MLOps, and scalable AWS infrastructure - with hands-on tutorials, real-world architecture patterns, and design decisions from production systems.
Latest Writing
- Jun 2026 Synthetic Data Generation for Healthcare: CTGAN, TVAE, and When to Use Each machine learning
- Jun 2026 Feature Engineering Pipelines: Building Preprocessing That Can't Leak machine learning
- Jun 2026 Class Imbalance in Clinical ML: SMOTE, ADASYN, and Why Accuracy Is Lying to You machine learning
- Jun 2026 SHAP From Scratch: From Feature Importance to Per-Patient Explanations machine learning
- Jun 2026 CatBoost: How It Handles Categorical Features Without Leaking the Answer machine learning
- Jun 2026 LightGBM: Why It's Faster Than XGBoost and When That Matters machine learning
- Jun 2026 XGBoost Hyperparameters Explained: What Each Knob Actually Does machine learning
- Jun 2026 Understanding Gradient Boosting Internals: From Pseudo-Residuals to XGBoost machine learning
- May 2026 Deploying Two AI Applications on AWS ECS Fargate: A Journey from Local Dev to Production devops infrastructure
- May 2026 Deploying 5 Microservices to AWS ECS - A Complete Hands-On Journey from GitHub to Production devops infrastructure