A hands-on guide to implementing a transformer self-attention block from scratch in pure Python, covering rotary positional embeddings, causal masking, and grouped-query attention — with real, runnable code and a roadmap to production-grade extensions.
A step‑by‑step guide to building a user‑safety service with FastAPI, Postgres, Celery and Docker that you can run, test, and extend for senior‑level impact.
A practical, runnable pure‑Python LLM inference engine that uses an entropy‑guided sliding‑window KV cache backed by hash‑indexed circular pages – perfect for showcasing systems engineering chops.
A step-by-step guide to building a model quantizer that shrinks neural networks for edge deployment, demonstrating systems engineering skills to recruiters.
A hands‑on guide to building a minimal GPT‑style model from scratch, with runnable code, testing, and extension ideas for a standout portfolio project.