AI Builder · Technical Lead, Data Visualization

I design intelligent systems that turn complex financial data into products people can understand and trust.

Outside work, I am a husband, a father, and still curious about what technology can mean in real life.

I currently lead data visualization work in Hithink RoyalFlush's AI department, at the intersection of AI applications, visual analytics, and product engineering in fintech.

Over the past 15 years, I have moved from building features to defining systems: retrieval pipelines, agent workflows, visual analytics, and the engineering foundations behind them.

I care about turning research ideas into practical products with clear user value, especially where explainability and interaction matter.

I have been admitted to Georgia Tech's M.S. in Computer Science program for Spring 2027, where I plan to deepen my foundations in artificial intelligence.

• AI applications for financial analysis and insight generation
• Visual and interactive systems that make complex logic easier to understand
• Research-to-production work across RAG, agents, and explainable interfaces

M.S. in Computer Science (Artificial Intelligence), Georgia Institute of Technology

Admitted for Spring 2027 · Enrollment pending

B.Eng. in Electronic Information Technology and Instruments, Hangzhou Dianzi University

Sep 2007 – Jun 2011

Designing AI-assisted visualization systems that turn market signals, documents, and structured data into clear visual outputs for end users.

Building retrieval and orchestration pipelines that connect knowledge, reasoning, and interface layers in practical fintech products.

Leading reusable foundations for charts, interaction patterns, and rendering workflows that support multiple products and teams.

TypeScript, JavaScript, Python, SQL, WebGL/Three.js, data visualization, RAG systems, AI agents, Linux

• Website: zhouchangju.com
• GitHub: @zhouchangju
• Open to conversations about AI applications, visual systems, and fintech product engineering.