Build a LoRA Adapter Trainer from Scratch in Pure Python
Learn to implement LoRA fine-tuning from scratch, creating a portfolio project that demonstrates real ML infrastructure expertise.
Learn to implement LoRA fine-tuning from scratch, creating a portfolio project that demonstrates real ML infrastructure expertise.
A step-by-step guide to implementing a pure-Python HNSW graph, with runnable code, testing, and extension paths that demonstrate real systems engineering depth for your CV.
A practical guide to designing user-safe systems at scale. It covers architecture patterns, tooling, and real-world failure scenarios.
Implement Linformer attention from scratch in PyTorch, benchmark it, and learn how to extend it for production systems.
A hands-on guide to building a deterministic sampling engine in pure Python, covering temperature, top-k, top-p, and nucleus sampling with production-grade architecture patterns you can showcase to hiring managers.