Experience
DataCloud
2022 — PresentHead of Products
Leading DataCloud's AI-ready data cloud product suite — Serverless data warehousing, data lake, and AI inference infrastructure — delivering 10× TCO savings. Powerdrill lets users explore data, generate charts and insights through natural language, no code required. MemoryLake is a production-ready enterprise AI Agent memory platform supporting structured memory extraction, state management, and multimodal retrieval, achieving 99.8% accuracy on a hyperscale document platform with trillions of records.
Alibaba Cloud
2013 — 2022Senior Product Expert · Core R&D Member
Core developer of AnalyticDB and DLA; led the international database product strategy, driving Alibaba Cloud into the Gartner Magic Quadrant for Cloud DBMS Leaders in 2020 — a position retained ever since.
IBM
2008 — 2013Software Engineer
IBM China Research & Development Center, specializing in DB2 for z/OS relational database engine internals.
Core Skills
AI-Ready Data Infrastructure
Designing data analytics platforms for AI workloads — from vector search and feature engineering to real-time inference pipelines.
Cloud-Native Databases
Core contributor to AnalyticDB and DLA; led Alibaba Cloud's international database product strategy.
AI Data Exploration Products
Building AI-augmented products that let analysts and engineers explore massive datasets using natural language.
Technical Inventions & Patents
50+ patents spanning relational databases, distributed computing, big data, cloud computing, and artificial intelligence.
AI Agent Engineering
Designing multi-agent collaborative architectures integrating memory, planning, and tool use to build deployable autonomous agent systems.
OPC · One Person Company
Building and deploying One Person Companies in the AI era — leveraging AI toolchains to replace team functions and ship complete products solo.
Get in Touch
Let's explore the next paradigm of data×AI
Open to discussing data infrastructure, AI products, and open-source collaboration. For my full career history, visit LinkedIn.


