This project demonstrates how to validate safetensors schemas and read sharded model weights using memory-mapped files, showing practical systems expertise.
This tutorial shows how to build a high‑performance top‑k/top‑p token sampler with temperature scaling and per‑token log‑probability tracking using NumPy. It demonstrates real systems skills relevant to ML inference roles.
A step‑by‑step guide to creating a quantization‑aware tool that you can ship, benchmark, and showcase in job interviews.
A practical guide to building a real-time user safety service with FastAPI, Redis, and Docker, showing hiring managers your systems engineering capabilities.
Learn to build a scalable, event-driven personal data pipeline using FastAPI, Kafka, and PostgreSQL — a portfolio project that signals senior-level systems thinking.