About & Contact

I am Xinhe Liu (Charles), an engineer and technical writer working across data, AI, and product systems.

A compact place for my professional focus, writing boundaries, GitHub, and contact details.

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What I work on

I work across data products, recommendation and ads systems, experimentation, causal measurement, and applied AI workflows. This site collects public writing, technical notes, and project threads.

I prefer precise problem framing over broad claims. Strong systems make uncertainty visible, define their constraints, and leave a trail that humans can inspect.

On this page

The combined page should connect the professional narrative, publication boundary, and direct contact paths without turning into another homepage.

What I work on

Data-heavy product systems across growth, recommendation, ads, experimentation, causal measurement, and applied AI.

How I think

Problem framing, measurement design, model and agent integration, operating feedback, and honest uncertainty.

What I publish

Technical essays, notes, diagrams, implementation traces, and project threads.

Good reasons to reach out

Useful starting points for technical writing, experimentation, measurement systems, and applied AI.

Technical writing and review Turning complex systems into clear diagrams, notes, and reusable explanations.

Experimentation and causal measurement A/B design, holdouts, guardrails, attribution, and incrementality.

Recommendation, ads, and applied AI System architecture, evaluation, agent workflows, and technical writing.

GitHub / Email GitHub · liuxinhe@outlook.com

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Subject: Technical conversation

Hi Charles,

I would like to discuss a technical topic around experimentation, recommendation, causal measurement, or applied AI.

Best,
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