Hands‑On Build Guide: Pure‑Python Safetensors Parser & Weight Shard Assembler with mmap Lazy Loading
A step‑by‑step guide to creating a lightweight, mmap‑based safetensors parser you can ship, test, and extend for real‑world model serving.
Machine-Learning
Building a HNSW Vector Index from Scratch in Python
This guide walks you through building a hierarchical navigable small world vector index in pure Python. You’ll learn brute‑force construction, greedy graph search, and how to extend it for production.
Building a Production-Grade Model Quantizer: A CV Side Project
A hands-on guide to building a neural network model quantizer from scratch. This project bridges machine learning and systems engineering, signaling real production skills to hiring managers.
Build a Pure-Python GGUF and Safetensors Weight Loader
A hands-on guide to building a pure-Python gguf and safetensors weight loader from scratch. Parse binary headers, memory-map tensor data, and convert to numpy arrays for inference — with real runnable code and a roadmap to production-grade.
User Safety: safe — A Hands-On Build Guide for a Portfolio-Worthy Systems Project
A hands-on guide to building ‘safe’, a real-time user safety engine that classifies content, applies configurable rules, and flags violations — demonstrating systems architecture, ML integration, and production-grade engineering.