Hands‑On Build Guide: Memory‑Mapped Safetensors Loader with Lazy Tensor Slicing
A practical guide to building a memory‑mapped safetensors loader with lazy slicing and zero‑copy NumPy views, perfect for signaling systems engineering skill on your CV.
Numpy
Build a Pure-Python GGUF/Safetensors Weight Loader
Learn to build a lightweight, dependency‑free weight loader that demonstrates systems‑level skills for ML engineering roles.
Build a LoRA Trainer in Pure NumPy: A Portfolio Project That Signals Systems Mastery
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.
Build a LoRA Fine-Tuning Engine from Scratch in Pure NumPy
A hands-on guide to building a LoRA fine-tuning engine entirely in NumPy, covering low-rank decomposition, gradient computation, and adapter updates with zero deep-learning framework dependencies.
Hands-On Build Guide: Flash Attention Implementation from Scratch in NumPy
A step-by-step NumPy guide to implementing Flash Attention with tiled multi-head self-attention and causal masking, perfect for a portfolio CV.