Hi, I’m Miao Hancheng
What this site covers
I work at Temu and I am also pursuing a Ph.D. in Computer Science at Arizona State University. This site is a long-form notebook for four recurring themes:
- AI: LLM systems, NLP, evaluation, and applied engineering.
- Quant: low-frequency quantitative research, backtesting, and tooling.
- Career: decisions about research, industry, and long-term growth.
- Immigration: process notes, timelines, and practical lessons.
Where to start
- Start with AI if you want technical work.
- Use Quant for trading research and experiments.
- Use Career and Immigration for life and relocation notes.
- Jump to Search if you already know the topic.
Research and engineering focus
- Applied LLM and NLP systems.
- Causal inference and machine learning methods.
- Data infrastructure, PySpark, Hive SQL, and production engineering.
Open source
- pysmatch: matching algorithms and causal inference tooling.
- llm_stock_report: a stock monitoring bot combining LLM reasoning, Qlib-style features, and LightGBM signals.
Contact
- Email: hanchengmiao@gmail.com
- GitHub: miaohancheng