Engineering Notes

Engineering Notes is a collection of technical documents exploring a wide range of topics across data systems, distributed computing, machine learning infrastructure, database internals, and modern engineering practices. These notes synthesize key concepts, architectural principles, design trade-offs, and practical insights drawn from real-world systems and from my own readings, analyses, and technical explorations.

The aim of this series is to provide clear, structured, and rigorous explanations that help engineers, researchers, and practitioners navigate the complexity of contemporary data and AI infrastructure. Each note focuses on breaking down an important concept whether related to storage engines, MLOps workflows, model serving, system design, or performance engineering and presenting it in a way that connects theory with practical understanding.

A note on sources: These Engineering Notes do not claim ownership over the ideas they discuss. They are derived from my personal study of research papers, technical publications, industry documentation, and engineering experience. For readers wishing to explore further, each note will include a curated list of recommended references and foundational materials.