Tag: algorithms

A practical map from algorithmic complexity to software engineering, data pipelines, machine learning systems, and modern LLM architecture decisions.

Outcome: Connected classical algorithm analysis to production software, ML pipelines, RAG systems, model serving, and the trade-offs behind modern AI research.

A practical way to use algorithm complexity in product engineering, from choosing data structures to designing recommendation features that do not collapse as data grows.

Outcome: Explained how algorithm complexity shows up in everyday product work, then walked through an e-commerce recommendation feature from naive loops to indexed lookup.