Minimal LoRA Fine-Tuning and Adapter Inference Engine in Pure Python
Build a compact LoRA engine from scratch, demonstrating systems skills that catch hiring managers’ eyes.
Build a compact LoRA engine from scratch, demonstrating systems skills that catch hiring managers’ eyes.
Build a from‑scratch paged attention engine in pure Python, complete with LRU‑based KV‑cache eviction and GPU‑free sliding‑window simulation. Great for demonstrating systems‑level ML engineering skill.
Understanding and implementing user safety at scale: architecture patterns, failure-mode handling, and production-proven strategies for distributed systems.
A practical guide to building a pure-Python INT4 quantizer for transformer weights, demonstrating real systems skills for your portfolio.
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.