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.
Lora
Hands-On Build Guide: Minimal LoRA Fine‑Tuning Engine for a 2‑Layer Transformer
A practical, end‑to‑end guide to building a minimal LoRA fine‑tuning engine for a 2‑layer transformer, with runnable code and production‑ready extensions.
Multi-Adapter LoRA Inference Engine with Weight Paging and Shared Base
A hands‑on guide to building a multi‑adapter LoRA inference engine with weight paging and a shared base model, perfect for showcasing systems engineering skills.
Hands‑On LoRA/PEFT Portfolio Project: From Scratch to Production‑Ready Fine‑Tuning
A practical, end‑to‑end guide to building a LoRA‑based CV project from scratch, with runnable code, testing, and production‑ready extensions.
Build a LoRA Adapter Trainer from Scratch: A Portfolio Project That Signals Real Systems Skill
A hands-on build guide for a from-scratch LoRA adapter trainer featuring gradient checkpointing and low-rank matrix fusion in pure Python, with architecture breakdown, runnable code, and a senior-level extension roadmap.