I am a third-year doctoral student at the Systems Group, Department of Computer Science, ETH Zürich, advised by Prof. Dr. Ana Klimović.

My research explores the complex and fundamental tensions between three pillars: from optimizing systems for efficient ML, to improving data quality and organization for ML, to developing frameworks that bridge the gap between algorithms and their practical deployment. Through this multi-faceted approach, my work aims to better understand and build AI systems.

I build scalable systems such as OpenTela, which has been deployed in production, and I am particularly interested in how to scale such systems even further with theoretical understanding. For example, how can we scale the number of models we serve under limited resources?

Prior to ETH Zürich, I gained a Master's degree at the University of Zürich in Data Science, advised by Prof. Dr. Michael Böhlen and Qing Chen. Before that, I completed my Bachelor's study at Shenzhen University in Computer Science, advised by Prof. Dr. Shiqi Yu. I interned at Fundamental AI Research (FAIR) @ Meta in 2025 as a research scientist and the Shenzhen Institute of Advanced Technology in 2016 as a data scientist. Between 2021 and 2022, I worked on project AID as an Innovator Fellow at the Library Lab, ETH Zürich.

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