Continuous Batching LLM Scheduler: Hands‑On Build Guide
A step‑by‑step guide to building a runnable continuous batching LLM scheduler that you can showcase on your CV, with architecture, code, testing, and extension ideas.
A step‑by‑step guide to building a runnable continuous batching LLM scheduler that you can showcase on your CV, with architecture, code, testing, and extension ideas.
This post walks through building a paged attention KV cache manager with continuous batching, providing runnable Python code and architecture guidance for systems engineers.
This project demonstrates memory management, concurrent request scheduling, and low-level allocator design—all core skills for backend and ML infrastructure roles.
A hands-on guide to building a pure-Python continuous batching LLM serving engine with PagedAttention KV cache and dynamic batch scheduling — a portfolio project that signals deep systems engineering skill.
Ship a working continuous batching scheduler with paged KV cache and dynamic request interleaving. Real Python, runnable locally, and a roadmap from toy to production-flavored.