Building a From-Scratch INT8 Strided Convolution Kernel
Learn how to build a high-performance INT8 convolution kernel from scratch using strided memory access and SIMD instructions.
Quantization
From Scratch: GPTQ‑Style Post‑Training Quantizer in NumPy
This guide walks you through implementing a GPTQ-style post-training quantizer entirely in NumPy. The resulting script compresses transformer weights and measures accuracy impact, showcasing your ability to ship low-level ML infrastructure.
Build an INT4 Block-Wise Weight-Only Quantizer for Transformer Attention Layers
Build a production-grade INT4 block-wise weight-only quantizer from scratch in pure Python. This guide covers calibration, dequantization, benchmarking, and why this project signals senior ML-systems skill to hiring managers.
Hands-On Build Guide: Quantization‑Aware Portfolio Project for Engineering CV
A step‑by‑step guide to creating a quantization‑aware tool that you can ship, benchmark, and showcase in job interviews.
Building a Production-Grade Model Quantizer for Your Portfolio
A step-by-step guide to building a model quantizer that shrinks neural networks for edge deployment, demonstrating systems engineering skills to recruiters.