Machine-Learning

Rotary embedding circle over a GPT schematic

Hands‑On Build Guide: Rotary Positional Embedding for a Tiny GPT

A step‑by‑step implementation of a tiny GPT with rotary positional embeddings, from architecture to runnable code, perfect for demonstrating systems skill to hiring managers.

Building a Production-Grade Semantic Search Engine from Scratch

Learn how to build a scalable semantic search pipeline from scratch. This guide covers embedding generation, vector indexing, and quantization to create a portfolio project that signals senior-level systems proficiency.

A visualization of vector embeddings organized in an HNSW graph structure with clustered partitions

Building a Pure-Python HNSW Index with IVF Clustering and Brute-Force Rescoring

A hands-on guide to building a pure-Python HNSW index with IVF clustering and brute-force rescoring. Learn how approximate vector similarity search works under the hood and create a portfolio project that signals deep systems expertise to hiring managers.

A visualization of an HNSW graph structure with layered nodes and edges

Build an HNSW Vector Index from Scratch in Python for RAG

Build an HNSW graph vector index from scratch in pure Python and integrate it into a RAG pipeline. This hands-on guide covers the full implementation, testing, and a roadmap to production-grade features.

A circuit board with a neural network diagram

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.