Stack
What I actually reach for
TypeScript
React
Next.js
JavaScript
Node.js
PostgreSQL
MongoDB
Tailwind
Docker
Linux
Git
GitHub
Express
Nginx
AWS
Google Cloud
Vue
HTML
CSS
Prettier
NPM
Firebase
Vim
WordPress
Experience
What I've been doing these years.
Indie developer / Full-stack engineer
Self-employed · Indie Hacker
2023 - Present
- One person running the whole chain: deciding what's worth building, picking the stack, ingesting data, writing backend services, building the interface, and keeping it alive in production — nothing outsourced.
- I prefer products that can be verified: get the data flowing and the metrics computing first, argue about how it looks later.
- TypeScript is the spine. Node handles ingestion and scheduling, Postgres carries ledgers and time series, the front end is uniformly React / Next.js.
- My delivery habit is to push operating cost close to zero — if it can be statically hosted, it never gets a server; if it can run on the edge, it never calls home.
Quant trading & financial data
Self-built research platform
2022 - Present
- Built the market-data and backtesting pipeline from scratch: multi-exchange ingestion, tick and candle storage, indicator computation and signal delivery as one async pipeline.
- What I care about is whether the data can be trusted, not how many strategies exist. Time alignment, adjustment conventions and exchange quirks decide whether a backtest is honest.
- Risk control lives in the data layer: outlier detection, gap filling, delisted-symbol pruning — all resolved at ingestion time.
- Conclusions are stored so they can be reproduced: parameters, data versions and evaluation conventions all leave a trail, so nobody trusts a remembered return figure.
Cross-border e-commerce & growth
Own stores / consulting
2021 - Present
- Sourcing and ad spend across multi-platform store groups: platform back-office data, ad cost and shipping times stitched into one operating dashboard.
- The core work is closing the data loop — sourcing from demand signals, pricing from margin models, restocking from turnover days, all landing in the same tables.
- Built in-house tooling instead of buying SaaS: order aggregation, inventory alerts and profit calculation written by hand. The subscription savings matter far less than owning the data.
- Most of the pain wasn't technical, it was definitions: does a refund count as revenue, is ad spend a cost? Until those agree, every report is wrong.
Projects
Mine, and a few by other people.
Get in touch
Email me at changyuansex@gmail.com , or leave a note below.