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:

​

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

• Leveraging simple yet effective methods to improve reasoning in foundation models, across the model development pipeline (pre-training, reinforcement learning, test-time compute)

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

​

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.​​​

​

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.​