Mark Zhang
Illustrated portrait of Mark Zhang

Mark Zhang

AI systems builder

Hong Kong

Thoughtful tools. Useful AI.

Building AI systems
that act reliably.

I build tools for agent execution, evaluation, and failure recovery. Clear boundaries, visible actions, and results people can check.

Previously at Kuaishou and FanRuan, working on agent platforms, RAG, and backend systems.

Selected work

01 / Build

Agent tooling

LoopPrism

A local-first inspector for coding agent sessions. Explore execution, context, timing, and estimated API costs across tools such as Claude Code and Codex.

Agent sessions · Observability · Local-first

Model engineering

nano-posttrain

A compact PyTorch implementation of SFT, DPO, and LoRA. A learning reference for exploring post-training.

PyTorch · Post-training

Product exploration

OfferPilot

A project exploring tools to help graduates navigate their job search.

Career · Product · TypeScript

AI systems · Course project

TACC AgentForge

An in-progress course project exploring model serving and a tool-using shopping advisor. Initial model deployment and smoke tests are complete.

Inference · Agents · Evaluation

Let's build something useful.

02 / Connect

Have an agent workflow to improve, an open-source idea, or a question? I'd be glad to hear from you.