Keshav Ramji

I am currently a post-training alignment researcher at IBM Research AI. My research lies at the intersection of natural language processing and statistical machine learning. I aim to build a deeper empirical and mathematical understanding of foundation model behavior towards developing more capable AI agents. In particular, some areas I'm currently excited about are:

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• Building foundation models aligned at scale to human preferences; data-centric AI for adaptation; self-improvement algorithms

• Leveraging simple yet effective methods to improve reasoning in foundation models, across the model development pipeline

• Incorporating statistical techniques to build more robust and uncertainty-aware language modeling methods for decision-making

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I'm a recent (Class of 2024) graduate of the University of Pennsylvania, where I studied Computer Science (B.S.E, M.S.E), Finance, and Statistics (B.S. in Economics) at the Wharton School. I have been fortunate to be advised by Prof. Surbhi Goel, Prof. Weijie Su, and Prof. Aaron Roth. I also was the founder and president of MLR@Penn, the undergraduate AI and ML research organization and community at Penn.​​​

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I'm open to collaborations or talking about anything related to ML and research -- I especially enjoy mentoring younger students interested in getting involved in the field! Feel free to reach out at keshavsramji@gmail.com.​