What I work on
I work in the AI division of Hithink RoyalFlush Information Network, leading research-oriented engineering and data-visualization architecture. My focus is a practical question: when a user asks a financial question, how do we ensure that an AI-generated chart actually answers it?
I combine semantic intermediate representations, constraint-guided generation, and automated evaluation to make AI-generated visual analysis more correct, explainable, and production-ready.
Core expertise
- AI agent architecture: context, tools, skills, evaluation, and long-running workflows.
- Trustworthy AI visualization: alignment between user intent, financial metrics, aggregation logic, and visual encoding.
- LLM-powered visual analytics: translating natural-language questions into explainable and verifiable analysis.
- Visualization infrastructure: Web Components, chart systems, WebGL, HCI, and enterprise delivery standards.
Experience
Research Engineering Leader / Data Visualization Expert
Hithink RoyalFlush, AI Division · Dec 2018–present
Lead, B2C Web Applications
Hithink RoyalFlush, B2C Division · May 2016–Dec 2018
Senior Software Engineer
Hithink RoyalFlush, B2C Division · Feb 2011–May 2016
Selected achievements
- Winner, PacificVis 2025 Visual Data Storytelling Contest.
- HiVis paper accepted by ChinaVis 2025.
- Shortlisted, PacificVis 2024 Visual Data Storytelling Contest.
- Inventor on patents involving LLM-generated visualization insights and visual representations of structured data.
Education and credentials
- M.S. in Computer Science, specialization in Artificial Intelligence, College of Computing, Georgia Institute of Technology (admitted for Spring 2027; enrollment pending).
- B.Eng. in Electronic Information Engineering and Instrumentation, Hangzhou Dianzi University (2007–2011).
- Certified System Architect.
- Hangzhou Category E High-Level Talent.
- Associate Senior Engineer professional title.
Contact
See my work on GitHub, browse my portfolio, or subscribe via RSS.