A hands-on guide to building ‘safe,’ a user safety engine that demonstrates middleware architecture, ML classification, rate limiting, and observability — the kind of systems project that separates junior candidates from senior-level ones.
A complete build guide for ‘safe’ — a user safety filtering service that demonstrates systems engineering depth, from API design to extensibility, with real runnable code and a clear roadmap to production.
A practical guide to implementing a paged KV-cache simulator with pluggable eviction policies, perfect for showcasing systems design abilities to hiring managers.
A hands-on guide to building a Retrieval-Augmented Generation pipeline with a from-scratch BM25 scorer. Covers architecture, real Python code, testing, and a senior-level roadmap for extending it into a production-grade system.
This tutorial walks you through implementing a LoRA weight merger in PyTorch, giving you a concrete portfolio piece that highlights systems thinking and ML engineering prowess.