A hands-on guide to building a distributed task queue in Go with Raft consensus, write-ahead log persistence, worker pools, and a live dashboard — the kind of project that signals real distributed systems skill on a CV.
A hands-on guide to building a from-scratch LLM sampler with temperature scaling, top-k/top-p warping, and multinomial sampling, benchmarked against Hugging Face. Includes runnable code and a roadmap to production.
A hands-on guide to building a sparse MoE inference engine in pure NumPy, covering top-k gating, capacity-constrained token dispatch, and differentiable load balancing — a portfolio project that signals deep systems and ML engineering skill.
A hands-on build guide for implementing ring attention — the technique behind near-infinite context transformers — as a portfolio project that signals deep distributed systems and ML engineering skill to hiring managers.
A hands-on guide to building a speculative decoding engine with a draft model and verifier in pure Python. This project signals deep systems expertise and is practical enough to actually complete, with real runnable code at every step.