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.
Fine-Tuning
Build a LoRA Adapter from Scratch in PyTorch
Learn to code a LoRA adapter from scratch in PyTorch, enabling efficient transformer fine‑tuning and a standout CV project for engineering roles.
From Scratch: Building a LoRA Fine-Tuning Adapter in Pure PyTorch
Implement a Low-Rank Adaptation (LoRA) module from scratch in PyTorch, then extend it with persistence, observability, and distributed training for production readiness.
Hands‑On LoRA Fine‑Tuning Portfolio Project
Learn how to construct a runnable LoRA fine‑tuning side project that demonstrates production‑grade ML engineering skills and can be highlighted on your CV.
Build a LoRA Rank Adaptation System From Scratch
A hands-on build guide for a LoRA rank adaptation system from scratch in PyTorch, with production-grade architecture, runnable code, and a roadmap to senior-level extensions.