Chongqing University · Industrial Engineering

Finding the signal in
information asymmetry.

I’m Chenze Zeng, an aspiring AI product manager. I turn ambiguous user and data problems into practical products—from research and data pipelines to launch and iteration.

20k+employment records structured
43%event-to-visit conversion
3,500+words labeled for SFT
20k+reads on one article
What I do

Product thinking, grounded in evidence.

I am drawn to AI, B2B, and data products—places where clearer structures and feedback loops make decisions easier.

Product

Frame the real problem

Translate loose needs into decisions, user journeys, and testable requirements without losing sight of the people behind the metrics.

Data

Make information usable

Work from collection and cleaning through labeling, quality control, and analysis to uncover patterns users cannot yet see.

Execution

Deliver end to end

Move from the first prototype to UAT, launch materials, and the feedback needed for the next iteration.

AI-native workflow

Use AI as leverage

Build with RAG, automation, agent workflows, and APIs while remaining accountable for the product decisions around them.

Selected work

Projects that delivered outcomes, not just prototypes.

Each case began with a concrete gap in information, workflow, or user understanding.

AI learning product · 2025

Qiaoji AI Vocabulary Cards

Led an eight-person team that labeled data for an NFC-card, mini-program, and spaced-repetition learning system. Delivered 3,500+ labeled words with 96%+ dataset accuracy and a 240% productivity improvement, then transitioned into a product management role and wrote PRD v2.0.

SFT datasetlearning designPRD
Workflow automation · 2026

HR Contract-Signing Automation

Designed and independently delivered an automated workflow connecting Feishu Bitable with the Fadada e-signature API, including status polling and result write-back. The complete flow passed UAT before handover.

B2B workflowAPI integrationUAT
Personal infrastructure

Personal Knowledge-base RAG

Built a retrieval system over course materials, public writing, and ebooks—from collection and cleaning to structured ingestion and retrieval. The index now covers 3,565+ pieces of content.

RAGdata pipelineknowledge management
Journey

A record of building momentum.

A selection from an ongoing weekly reflection practice—projects, experiments, and the moments that changed my direction.

Started at Chongqing University

Entered Chongqing University through its broad-based Engineering and Energy track, later specializing in Industrial Engineering, and started a self-training system around reading, communication, and consistent weekly reviews.

Joined Qiaoji as Data Lead

Joined the AI vocabulary project as Data Lead and led the team’s data-labeling work before transitioning into product management.

Assistant Management Trainee, Career Center

Supported a job fair serving 1,000+ employers and 20,000+ graduates. A Python automation reduced ledger-entry workload by 60%.

Built the employment explorer independently

Conducted research, structured the data, designed the experience, and launched a product that made graduate outcomes easier for students to understand.

Product Manager Intern, Muchen AI

Worked on a dataset platform from 0→1 and delivered an HR contract-signing automation that completed a live, paid e-signature transaction.

Building stronger product judgment

Preparing two end-to-end portfolio cases while looking for opportunities in AI, B2B, and data product management.

Craft

The tools are only useful when they close the loop.

AI & Automation

Agent workflows · RAG · Coze · RPA · Feishu API automation

Product Design

PRDs · prototyping · competitive analysis · user journeys · qualitative interviews

Data & Engineering

Python · SQL · scraping · cleaning · labeling & quality control · Excel

Deployment

Vercel · GitHub · Feishu Bitable · Fadada API · Obsidian

Writing & learning

Consistent writing is a form of product research.

I write to explain how I think about products, growth, work, and the systems behind them.

Writing

20,000+ reads on a product essay

I write about product thinking and growth, including “Good Products and Bad Products: Short-term Pleasure or Long-term Options?” and a self-developed 3L model for evaluating large technology companies.

Reflection

70 weekly reviews and counting

Since my first week of university, I have maintained structured reviews of what I did, what I learned, and which judgments turned out to be wrong.

Podcast

Independent Variable

An interview podcast examining choices, costs, and outcomes. Every conversation asks: what variable changed, what did it cost, and what lessons can others apply?

Learning system

Evidence over intuition

I keep learning across cognitive science, systems thinking, product practice, and long-term decision-making, then test those ideas against real projects.

“Build a system that lets you see what you would otherwise miss.”My working principle: make the problem clearer, make the next action easier, and leave behind a feedback loop.
Let’s talk

Open to product
internship opportunities.

AI · B2B · Data Products
Shenzhen · Hangzhou · Guangzhou · Chengdu