Hello, I'm Haichen.

HAICHEN

Building things that make sense to the people who actually use them.

Trying to think clearly when most things compete for attention.

Quietly obsessed with details most people skip.

[BUILDER][CREATOR-LITERATE][AI-NATIVE]

joanduan.dev · v0.3

NOW · ingest · learn · ship

·perception
·comprehension
·composition

ABOUT

Probare
et Aedificare.

To prove, and to build.

THE MOVE

Five cities, three languages, two school systems before I turned 18 — Shenzhen, London, Paris, Frankfurt, Munich.

Mandarin at home, English across continents, German learned by immersion. I learned to read environments faster than I learned grammar. That's still how I work.

THE VOICE

I grew up impulsive — quick to opinion, slow to proof. Then I moved to a country where every sentence has to carry its own evidence. It rewires you. Mine got rewired.

Now: I notice patterns first, name them last. Quality travels further than volume. The best ideas in a room are the ones nobody's made simple yet — and made true.

THE CLIMB

I keep picking the harder track. High school, university, every choice between an easier path and a steeper one — I go steeper. Not for the view. For the legs you build climbing it.

Here I'm surrounded by people years ahead of me on the curve. I'm not intimidated — I'm calibrating. The point of climbing isn't to be the tallest. It's to keep finding harder mountains.

THE PIVOT

I chose Wirtschaftsinformatik because the bridge between business analysis and code is where the real problems live. Pure tech misses the why. Pure business misses the how.

I'd rather build the bridge than guard one shore.

THE BRIDGE

My mother is an engineering designer. She designs hardware — conferencing systems and the equipment deployed in meeting rooms around the world.

I grew up watching her work. Drawing on the screen, running the meeting, making the call. Every product she shipped did two things: contributed to the business, and got used by real people in real rooms.

She does this in mechanical engineering. I want to do it in computer science. Different stack, same kind of work — sustainable products that create value for the business and the people who use it.

CURIOSITIES

Things I'm exploring beyond the day-to-day: product strategy, human-computer interaction, applied AI in everyday tools. Different pace, different scale — but every one of them is on its way to becoming work, not staying as wishlist.

THE BELIEF

The best technology is the kind you forget you're using — because it works the way you already think. The worst makes you translate yourself before it understands you.

The work, for me, is closing that gap.

TUM · CIT

Haichen Duan
Haichen Duan
Designer · Engineer · Analyst
B.Sc. Information Systems
Double-tap to flip

TUM · WIRTSCHAFTSINFORMATIK

Contact

Haichen Duan

Location

Munich, DE

Probare et Aedificare.

EXPERIENCE

Where the resume lives.

2024 — 2025

Co-founder of Content Operations

1.6M-follower creator channel · Bilibili / Douyin

  • Grew creator channel from obscurity to 1.6M followers across Bilibili and Douyin
  • Lifted per-video engagement from sub-10K to 200K+ likes through data-driven content iteration
  • Directed end-to-end video production (editing, cinematography, post-production) across 200+ videos
  • Built and ran fan community across group chats and DMs; managed audience feedback loops feeding into content strategy
  • Owned engagement analytics; translated audience signals into editorial and production decisions
  • Two-person operational team — full content stack ownership from ideation through publish
Video production· Community management· Audience analytics· Content strategy
An afterthought project this experience sparked

More to come — currently looking for internship roles.

PROJECTS

What I'm working on.

Eight projects. Three live, one in progress, four on the roadmap.

//about/projects/contactSITE STRUCTURE LIVE

ENGINEERING / FRONTEND

joanduan.dev

A self-built portfolio in a week — brand identity, code, copy, and ship. The site you are reading is the project.

Next.js 16Tailwind v4TypeScriptVercel
REPOLENS // 5-DIMENSIONAL AUDITDOCS82ARCH91MAINT74TEST88SEC67VERDICTADOPT WITH CAUTIONSCORE80 / 100STREAMED VIA SSE LIVE

AI / AGENTS

Repolens

An agentic AI repository auditor. Paste any GitHub URL, get a structured 5-dimensional audit (documentation, architecture, maintenance, testing, security) in under a minute, plus decision memos, dependency due diligence, and side-by-side repo comparison.

PythonFastAPILangGraphMCPAnthropic APIDockerNext.jsTypeScriptTailwindRailwayVercel
TOURIST RE-FINDING LIVE

ENGINEERING / FRONTEND

WayBack

A context-aware re-finding web app for tourists — surfacing places you saved at the moment they become relevant. Sole frontend on a 2-person team. Built four paper-faithful features that translate a 2017 academic recommendation framework into UI signals users can actually read.

React 19ViteTailwindLeafletTypeScript
2026.04 – 2026.06
Q1Q2Q3Q4Q5Q6GMV IN PROGRESS

DATA / ANALYTICS

Creator Economy Analytics

A 4-view Tableau dashboard turning 540K+ creator-economy transactions into audience-readable insight on growth, retention, and revenue mix.

TableauPythonPandasSQL

Independent project · public Bilibili / Douyin API data · inspired by but unrelated to prior client work

$ai-sales parse chat-log.txt→ extracted 12 entities→ schema-validated 12/12→ posted to salesforce in 3.2s$ ROADMAP

AI / AUTOMATION

AI Sales Workflow CLI

A Python CLI agent that parses unstructured sales chat logs into schema-compliant Salesforce payloads in under five seconds.

PythonClaude APISalesforce APISQLite
2026.06Planned
ACTUALFORECAST202420252026 ROADMAP

DATA / FORECASTING

Industrial Sales Forecasting

A hybrid SARIMAX/ETS modeling system to identify growth potential and customer lifecycle patterns across B2B industrial sales accounts.

PythonPandasStatsmodelsScikit-Learn
2026.06Planned
CNNVITMLLMMODEL EVOLUTION ROADMAP

AI / RESEARCH

AI Vision Evolution

A side-by-side comparison of how vision models read the same image — from early CNNs through Vision Transformers to multimodal LLMs. A study in how machines have learned to see.

PyTorchGrad-CAMClaude Vision
2026.06Planned
n = 52,400 COMMENTS ROADMAP

AI / NLP

NLP on Creator Comments

Sentiment and theme extraction across tens of thousands of audience comments. Listening at a scale no creator can do by hand.

PythonLLMspaCy
2026.07Planned

DATA LAB

Smaller experiments.

Focused analytical notebooks and dashboards — narrower in scope than the projects above, but built end-to-end on real data.

DATA / ANALYTICS

LIVE

P&C Insurance Analytics Dashboard

An interactive 4-view dashboard on French Motor TPL (Charpentier 2014) — surfacing where a €234M-exposure portfolio actually loses money: 6 unprofitable regions, the 18-25 driver cohort, and a healthy BonusMalus retention curve.

678K

Policies

25K

Claims

4

Views

PythonpandasPlotly
2026.05

INTERVIEW ME

Curious about something
I haven't covered?

Ask. I've trained a model on my background to answer — in my voice, with my reasoning. Try it like a 5-minute screening call.

— TRY ASKING —

Liked what I said? Reach out at haic.duan@gmail.com