AI Engineering
ML systems & inference
Implementation-led study of the systems choices behind useful, reliable LLM applications.
Why this exists
An ongoing engineering area spanning inference paths, KV caching, attention variants, quantization, batching, GPU memory, serving, observability, and production Python architecture. It is presented as technical work in progress—not as a claim of a particular deployment scale.