Hey! I'm Ziven Liu 👋
SUFE undergrad & masters — from Data Science to Financial Engineering, ByteDance to VAST (Tripo.ai). Surfing data pipelines by day, chatting with LLMs by night. A data craftsman hopping across ETL → Data Warehouse → Data Platform → AI.
"If data is the new oil, I'm the one refining it, running the gas station, and building rockets on the side."
Skill Radar
Data Eng & Big Data are my home court — built DWD/DWM warehouses at ByteDance, architected full pipelines with SeaTunnel + Airflow + Hive. AI/ML is my second battlefield — from Llama fine-tuning to RAG to multimodal data pipelines. Plus a quant finance foundation — my thesis priced snowball options with IPSO-LSTM 😎
Tech Galaxy
My tech stack isn't a tree — it's a web. Python is the universal glue, SQL is my mother tongue for data. Spark & Hive for PB-scale warehousing, Airflow orchestrates scheduling, PyTorch + LangChain handle AI. Docker/K8s for deployment, Ray for distributed training, S3 + Lance for multimodal storage — end-to-end, from ingestion to model serving.
💡 Drag nodes to see how technologies connect
Growth Path
Entered SUFE Data Science in 2019, starting with my first line of Python. Won a national CS design award during undergrad, interned at Bank of China. Master's in Financial Info Engineering — researching RecSys and LLMs. Built data warehouses at ByteDance in 2024, joined VAST (Tripo.ai) in 2025 for AI big data engineering on 3D foundation models — accelerating at every data × AI intersection.
Fun Facts
Campus host & debate coach — can argue my way through any code review
Student council president — managing people is harder than managing data
Double major: Data Science + Financial Statistics — dual wielding
Thesis: priced snowball options with IPSO-LSTM — brute force meets elegance
CET-6, more fluent in code comments than daily conversation
Currently on 3D foundation models — teaching AI to see in 3D