About me.

I'm a research_engineer = lambda self: {"Research": 0.50, "Engineer": 0.50} @ Google DeepMind

I've defended my Ph.D. in Computer Science from Purdue, where I am very fortunate to work with Samuel D. Conte Distinguished Professor Elisa Bertino (ACM & IEEE & AAAS Fellow, President of ACM 2026 - 2028). 

I’ve worked across both research and production environments at Meta, Tursio, Amazon, and Microsoft Research, where I worked on scalable systems and LLM-data applications. Before my Ph.D. journey, I got my Bachelor's degree from Sun Yat-sen University in 2022. During my undergrad, I also worked as a research intern at Microsoft Research Asia and SAP Labs. 

News:

• I've joined Google DeepMind as a Research Engineer.

• I have successfully defended my Ph.D. thesis. Thanks to my advisor and my Ph.D. committee.

Talks & Interviews:

• Omni-structured data management for LLMs, indexing, retrieval, and reasoning, invited talk at Snowflake.

• The first serverless vector search, oral presentation at SIGMOD 2024, Santiago, Chile 🇨🇱.

• "Serverless Vector Database on Cloud Functions", invited talk at FedML.

• "Cloud Techniques & Challenges", interview by Google & SegmentFault. (Video available@Google CN)