This is a space dedicated to sharing my thoughts, projects, and experiences. I document my exploration into machine learning architecture, intelligent systems, and the core computer science principles that power modern systems. Feel free to explore and connect with me!
Architecting a Production-Ready RAG Pipeline
An engineering deep dive into building a high-performance RAG system. This guide covers document chunking, vector embeddings, and semantic search to create a factual, context-aware AI pipeline.
The Math of Privacy: Choosing the Right Noise for Differential Privacy
An in-depth look at Differential Privacy mechanisms, exploring the mathematical trade-offs between Laplace and Gaussian noise through a student dataset case study.
