A code editor displaying a Python BPE tokenizer implementation with terminal output showing tokenization results.

Build a BPE Tokenizer From Scratch in Pure Python

A hands-on build guide for a Byte Pair Encoding tokenizer in pure Python — complete with architecture diagrams, runnable code, testing strategy, and a senior-level extension roadmap.

September 23, 2026 · 11 min · 2251 words · martinuke0
A stylized illustration of a memory-mapped file loading tensors.

Lazy GGUF/Safetensors Checkpoint Loader: A Hands-On Build Guide

A practical guide to building a lazy checkpoint loader that memory-maps GGUF and safetensors files, parses tensor metadata, and dequantizes on demand.

September 23, 2026 · 9 min · 1902 words · martinuke0
A diagram of a mixture-of-experts router with multiple expert networks and a gating mechanism

Build a Mixture-of-Experts Router from Scratch: A Portfolio Project That Signals Real Systems Skill

A hands-on guide to building a mixture-of-experts router from scratch in Python, covering top-k gating, capacity factor scheduling, and load balancing loss — a CV-worthy project that signals real systems and ML engineering skill.

September 23, 2026 · 12 min · 2465 words · martinuke0
A code editor showing an inference pipeline architecture diagram with arrows connecting model loader, request queue, and API server components.

Build a Production-Grade Inference Pipeline: A Hands-On CV Project

A step-by-step guide to building a real-time ML inference service with async processing, request batching, and observability — designed to demonstrate production systems engineering on your CV.

September 22, 2026 · 14 min · 2928 words · martinuke0
A visualization of INT4 weight tensors being dequantized and multiplied in a fused GEMM kernel

Build a Blockwise INT4 Inference Engine: A Hands-On Portfolio Project

A hands-on build guide for a blockwise INT4 inference engine with packed-nibble weights, per-group scales/zero-points, and fused dequantizing GEMM — a portfolio project that demonstrates real systems and ML engineering depth.

September 22, 2026 · 15 min · 3020 words · martinuke0
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