Kai Wen Cui
I'm currently in the job market, open to ML/AI and engineering roles. Feel free to reach out!
My work centers on building robust, data-efficient AI systems at the intersection of machine learning, NLP, and quantitative modeling. As a Research Assistant at Stanford University, I focus on developing autonomous agents that collect and curate large-scale datasets for systematic empirical studies. In parallel, my work at HESSIC Inc. involves designing and refining quantitative models to better understand financial market behavior, particularly for volatility forecasting and algorithmic trading.
Education
- May 2024M.Eng. in Computer Science at Cornell University
- Sep 2022B.S. in Computer Science and Engineering at Polytechnic University of Milan
Latest updates
- ●2025-01-15: Entering the Kaggle AI Mathematical Olympiad - Progress Prize 2 competition
Projects
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Efficient Prompt Compression in Large Language Models
Investigating novel approaches to compress and optimize prompts while maintaining model performance through knowledge distillation techniques.