A hands-on guide to building ‘safe’, a real-time user safety engine that classifies content, applies configurable rules, and flags violations — demonstrating systems architecture, ML integration, and production-grade engineering.
Build a production-grade incremental KV cache from scratch in pure Python. This guide covers architecture, implementation, testing, and a roadmap to production-flavored features that signal real systems skill to hiring managers.
A complete build guide for a User Safety scoring engine — covering architecture, step-by-step implementation with real code, testing strategies, and a senior-level extension roadmap.
A hands-on guide to building a production-flavored user safety service that ingests, moderates, and logs user content in real time.
This post walks you through implementing a token‑aware context buffer that learns relevance and prunes low‑value tokens to fit a target window.