A hands-on build guide for a LoRA adapter trainer with fused low-rank gradients and adapter-aware inference in pure NumPy — the kind of project that signals deep ML and systems expertise to hiring managers.
A hands-on build guide for a Byte Pair Encoding tokenizer in pure Python — complete with architecture diagrams, runnable code, testing strategy, and a senior-level extension roadmap.
A step-by-step guide to building a real-time ML inference service with async processing, request batching, and observability — designed to demonstrate production systems engineering on your CV.
Build a user safety microservice in Go that validates content, enforces rate limits, and scales horizontally — a portfolio project proving you can ship real systems.
Learn to build a HNSW‑based vector index from scratch, demonstrating systems skills that catch hiring managers’ eyes.