Research and working notes.

Drafts from the systems we build and the questions we study. These titles are in preparation; no articles are published here yet.

DraftPrivate AI / Systems research

Serving 500B+ parameter mixture-of-experts models on a workstation

Expert streaming, speculative decoding, and the practical limits of single-machine inference.

DraftPrivate AI / Infrastructure

Coordinating several models on shared hardware

Scheduling, memory pressure, and the design choices behind multi-model serving.

DraftProduct engineering / Operations

What a route-to-invoice system has to get right

Where dispatch, service records, billing, and reconciliation meet.

DraftDelivery / Practice

Acceptance criteria for software built with agents

How to make human responsibility and release decisions visible in AI-native delivery.

Have a technical problem worth studying?

Describe the system and the decision you need to make.

Describe the work